1187 Data Engineering jobs in Hyderabad

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Data Engineering Consultant, you will play a critical role in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. This role emphasizes the integration of Azure Databricks, Azure Cloud services, and Snowflake, along with advanced AI/ML capabilities, including Large Language Models (LLMs) and Copilot Studio. The ideal candidate will have a Solid foundation in data engineering, cloud platforms, and a passion for building intelligent, automated, and data-driven systems.
**Primary Responsibilities:**
+ Design, develop, and maintain scalable data pipelines using Azure Databricks
+ Implement data processing workflows and ETL processes on Azure Cloud
+ Integrate and manage data within Snowflake for efficient storage and retrieval
+ Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions
+ Optimize and troubleshoot data pipelines for performance and reliability
+ Ensure data quality and integrity throughout the data lifecycle
+ Develop and maintain documentation for data processes and workflows
+ Stay up-to-date with the latest industry trends and best practices in data engineering and cloud technologies
+ Collaborate with AI/ML teams to integrate machine learning models into data pipelines for predictive analytics and automation
+ Support the deployment and monitoring of ML models using tools like MLflow, Azure ML, or Databricks ML
+ Work with Large Language Models (LLMs) to build intelligent data solutions, including prompt engineering and API-based integration
+ Leverage Microsoft Copilot Studio to create conversational AI experiences that enhance data accessibility and user interaction
+ Embed LLMs into development pipelines using secure API integration, context management, and governance best practices
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
+ 5+ years of experience in data engineering with a Solid foundation in cloud-based data platforms and AI/ML integration
+ Programming Skills: Proficiency in Python for data processing and automation, with experience in libraries such as Pandas, NumPy, and PySpark
+ Cloud & Big Data: Proven experience with Azure Databricks, Azure Cloud services, and Snowflake
+ Big Data Technologies: Knowledge of Apache Spark and distributed data processing
+ ETL & Data Pipelines: Experience with ETL tools and building scalable, reliable data pipelines
+ SQL & Databases: Solid SQL skills and familiarity with relational and cloud-native databases
+ AI/ML Integration: Experience with AI/ML frameworks such as scikit-learn, TensorFlow, or PyTorch
+ LLMs: Hands-on experience with LLMs (e.g., OpenAI GPT, Azure OpenAI), including prompt design, fine-tuning, and secure integration into data workflows
+ Copilot Studio: Familiarity with Microsoft Copilot Studio for building and deploying conversational AI solutions
+ Model Lifecycle: Understanding of ML model lifecycle: training, evaluation, deployment, and monitoring
+ DevOps & CI/CD: Experience with CI/CD pipelines, version control (e.g., Git), and containerization (e.g., Docker, Kubernetes)
+ Communication Skills: Solid communication and collaboration skills to work across technical and business teams
+ Problem Solving: Excellent analytical and troubleshooting skills with attention to detail
**Preferred Qualifications:**
+ Certification in Azure or related technologies
+ Experience with other cloud platforms (e.g., AWS, Google Cloud)
+ Exposure to data governance, security, and compliance practices in enterprise environments
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Provide technical leadership and build in architecture, design and engineering of Data Ingestion, ETL. AI and Database to new technologies in the Public Cloud (Azure), Big Data and API Space
+ Lead the technology transformation from our legacy Data and Analytic platforms to a Big Data Cloud based Modern Software paradigm. Be innovative in solution design and development to meet the needs of the business
+ Understands security threats and patterns comprehensively and ensures adherence to all regulatory initiatives. HIPPA, PHI, PII, locational data restrictions, contractual etc.
+ Contribute towards inner source to save significant $ savings and educate/encourage other teams across portfolios to use the inner source code in their products
+ Create a common framework and repository for the development of Modern APIs available to the Optum Product Engineering Team
+ Demonstrate leadership in the context of software engineering and be an evangelist for engineering best practices
+ Create next generation streaming applications to use our Data as a strategic platform to grow the top line revenue
+ Stay abreast of leading-edge technologies in the industry evaluating emerging software technologies
+ Work collaboratively with all business areas to assess unmet/new business needs and solutions
+ Encourage the growth of junior engineers on the team through skills development, mentoring and technical guidance
+ Create a startup mentality to accelerate the introduction of new capabilities and transform teams
+ Avid supporter of the Open Source software community
+ Display a solid desire to achieve and attain high levels of both internal and external customer satisfaction
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Engineering graduate in Computer Science or equivalent stream
+ 7+ years of software product development experience working on commercially available software and / or healthcare platforms
+ 2+ years of solid experience designing and building Enterprise Data
+ 1+ years of experience developing AI solutions hosted in Azure
+ Subject matter expert on Cloud, Databricks and AI technologies preferably Azuresolutions on cloud
+ Experience in AI/ML will be preferred
+ Experience with Data warehousing services on Azure
+ Experience in using modern software engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps etc.
+ Solid experience of operating in a quickly changing environment and driving technological innovation to meet business requirement
+ Proven track record of building relationships across cross-functional teams
+ Proven excellent time management, communication, decision making, and presentation skills
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NIC #NJP

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Implementation:
+ Data Mapping and Transformation:
+ File Mapping: Complete file mapping based on layouts and requirements provided by Project Managers
+ Business Logic: Document business logic for transforming data into product specifications
+ Data Quality Checks: Run and interpret quality checks against loaded data to ensure accuracy and completeness
+ Data transformation: Author and test ETL to convert data from one format to another. This includes cleaning, filtering, aggregating, enriching, normalizing, and encoding data to make it suitable for analysis, processing or integration
+ Troubleshooting and Support:
+ Issue Resolution: Troubleshoot issues raised by project managers and cross matrix teams from root cause identification to resolution
+ Support Requests: Handle support requests and provide timely solutions to ensure client satisfaction
+ Collaboration and Communication:
+ Stakeholder Interaction: Work closely with Client, Project Managers, Product managers and other stakeholders to understand requirements and deliver solutions
+ Documentation: Contribute to technical documentation of specifications and processes
+ Communication: Effectively communicate complex concepts, both verbally and in writing, to team members and clients
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree in Computer Science, Health Informatics, Information Technology, or other related fields.
+ 2+ years of experience working with healthcare data (EMR Clinical and Financial data HL7 v2, CCDAs, EDI data - 835s, 837s, Claims from variety of payers etc.) sent as either Flat file/JSON/XML etc.
+ 2+ years of experience working with Hive SQL, Postgres, or other data analysis language.
+ 1+ years of experience with Git/GitHub.
**Preferred Qualifications:**
+ 2+ years of experience managing clients or working with them on tasks like requirements gathering, impact analysis etc.
+ 2+ years of experience implementing and supporting client solutions on Azure Cloud platform
+ 2+ years of experience coding in Databricks/Python or Databricks/Scala
+ Experience with cutting edge technology (AI/ML)
+ Familiarity with Agile or experience working in Scrum teams
+ Proven highly analytical and think outside the box
+ Proven solid written and verbal communications skills. Ability to clearly articulate ideas and concepts
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together**
**Primary Responsibilities:**
+ Support the full data engineering lifecycle including research, proof of concepts, design, development, testing, deployment, and maintenance of data management solutions
+ Utilize knowledge of various data management technologies to drive data engineering projects
+ Lead data acquisition efforts to gather data from various structured or semi-structured source systems of record to hydrate client data warehouse and power analytics across numerous health care domains
+ Leverage combination of ETL/ELT methodologies to pull complex relational and dimensional data to support loading DataMart's and reporting aggregates
+ Eliminate unwarranted complexity and unneeded interdependencies
+ Detect data quality issues, identify root causes, implement fixes, and manage data audits to mitigate data challenges
+ Implement, modify, and maintain data integration efforts that improve data efficiency, reliability, and value
+ Leverage and facilitate the evolution of best practices for data acquisition, transformation, storage, and aggregation that solve current challenges and reduce the risk of future challenges
+ Effectively create data transformations that address business requirements and other constraints
+ Partner with the broader analytics organization to make recommendations for changes to data systems and the architecture of data platforms
+ Support the implementation of a modern data framework that facilitates business intelligence reporting and advanced analytics
+ Prepare high level design documents and detailed technical design documents with best practices to enable efficient data ingestion, transformation and data movement
+ Leverage DevOps tools to enable code versioning and code deployment
+ Leverage data pipeline monitoring tools to detect data integrity issues before they result into user visible outages or data quality issues
+ Leverage processes and diagnostics tools to troubleshoot, maintain and optimize solutions and respond to customer and production issues
+ Continuously support technical debt reduction, process transformation, and overall optimization
+ Leverage and contribute to the evolution of standards for high quality documentation of data definitions, transformations, and processes to ensure data transparency, governance, and security
+ Ensure that all solutions meet the business needs and requirements for security, scalability, and reliability
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 3+ years of experience in Microsoft Azure Cloud, Azure Data Factory, Data Bricks, Spark, Scala / Python , ADO.
+ 5+ years of combined experience in data engineering, ingestion, normalization, transformation, aggregation, structuring, and storage
+ 5+ years of combined experience working with industry standard relational, dimensional or non-relational data storage systems
+ 5+ years of experience in designing ETL/ELT solutions using tools like Informatica, DataStage, SSIS , PL/SQL, T-SQL, etc.
+ 5+ years of experience in managing data assets using SQL, Python, Scala, VB.NET or other similar querying/coding language
+ 3+ years of experience working with healthcare data or data to support healthcare organizations
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_#njp #nic_

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to drive the development and implementation of our data strategy with deep expertise in R&D of Biotech or Pharma domain. This role will lead a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. As a strategic leader, the ideal candidate will drive best practices in data engineering, cloud technologies, and Agile development, ensuring robust governance, data quality, and efficiency. The role requires technical expertise, team leadership, and a deep understanding of cloud data solutions to optimize data-driven decision-making.
**Roles & Responsibilities:**
+ Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division.
+ Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems.
+ Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance.
+ Drive the development of data tools and frameworks for managing and accessing data efficiently across the organization.
+ Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms.
+ Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness.
+ Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features.
+ Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices.
+ Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases.
+ Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives.
+ Prepare team members for stakeholder discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.
+ Drive Agile and Scaled Agile (SAFe) methodologies, managing sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery.
+ Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization leverages the latest innovations in data engineering and architecture.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in the R&D domain of biotech/pharma companies.
+ Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems.
+ Data Engineering experience in R&D for Biotechnology or pharma industry
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Proficiency in Python, PySpark, SQL.
+ Experience with dimensional data modeling.
+ Experience working with Apache Spark, Apache Airflow.
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
+ Experienced with AWS or GCP or Azure cloud services.
+ Understanding of end to end project/product life cycle
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Pharma is a plus
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Master's degree with 10 - 12 + years of experience in Computer Science, IT or related field
+ OR
+ Bachelor's degree with 8 -10 + years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
+ Project Management certifications preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job

ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
We are seeking a seasoned Senior Data Engineer to drive the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Senior Data Engineer, you will play a crucial role in designing, building, and optimizing our data pipelines and platforms while mentoring junior engineers.
Roles & Responsibilities:
+ Contribute to the design, development, and implementation of automations to monitor our data and cloud platforms for reliability, cost, and maintenance.
+ Take ownership of platform management, managing scope, timelines, and risks.
+ Ensure data quality and integrity through rigorous testing and monitoring.
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
+ Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
+ Identify and resolve complex data-related challenges.
+ Adhere to data engineering best practices and standards.
+ Stay up-to-date with the latest data technologies and trends.
+ Execute POCs on new technologies to advance the capabilities and deliveries in our data strategy.
**Basic Qualifications**
+ Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years (in Computer Science
**Functional Skills:**
**Must-Have Skills:**
+ Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
+ Proficiency in Python, PySpark, SQL. Hands-on experience with big data ETL performance tuning.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Manage and administered cloud-based environments such as (AWS, Azure, GCP) and data platforms (Databricks, Snowflake)
+ Experiencing working with troubleshooting cloud environment issues (networking, virtual machines)
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Experienced with data modeling and performance tuning for both OLAP and OLTP databases
+ Experience with administering lifecycle and platform management policies on usage of cloud resources
+ Experienced working with Apache Spark, Apache Airflow
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
+ Experienced with AWS, GCP or Azure cloud services
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Manager Data Engineering**
**What you will do**
Let's do this. Let's change the world. In this vital role you will lead and scale an impactful team of data engineers. This role blends technical depth with strategic oversight and people leadership. The ideal candidate will oversee the execution of data engineering initiatives, collaborate with business analysts and multi-functional teams, manage resource capacity, and ensure delivery aligned to business priorities. In addition to technical competence, the candidate will be adept at managing agile operations and driving continuous improvement.
**Roles & Responsibilities:**
+ Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
+ Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies.
+ Design, develop, and implement robust data architectures and platforms to support business objectives.
+ Oversee the development and optimization of data pipelines, and data integration solutions.
+ Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
+ Architect and manage cloud-based data solutions, using AWS or other preferred platforms.
+ Lead and motivate an impactful data engineering team to deliver exceptional results.
+ Identify, analyze, and resolve complex data-related challenges.
+ Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions.
+ Stay abreast of emerging data technologies and explore opportunities for innovation.
+ Lead and manage a team of data engineers, ensuring appropriate workload distribution, goal alignment, and performance management.
+ Work closely with business analysts and product collaborators to prioritize and align engineering output with business objectives.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years computer science and engineering preferred, other Engineering field is considered
+ Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
+ Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
+ Proven ability to lead and develop impactful data engineering teams.
+ Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
+ Strong communication skills for collaborating with business and technical teams alike.
**Preferred Qualifications:**
+ Experienced with data modeling and performance tuning for both OLAP and OLTP databases
+ Experienced with Apache Spark, Apache Airflow
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
+ Experienced with AWS, GCP or Azure cloud services
**Professional Certification:**
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
**Soft Skills** :
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs.
**Roles & Responsibilities:**
+ Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
+ Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
+ Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
+ Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
+ Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
+ Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
+ Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
+ Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
+ Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
+ Mentor and develop a high-performing team of data operations analysts and leads.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in biotech/pharma domain companies.
+ Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
+ Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
+ Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
+ Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
+ Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
+ Excellent leadership, communication, and stakeholder engagement skills.
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Life Sciences/Pharma
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Any Degree and 9-13 years of experience
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs.
**Roles & Responsibilities:**
+ Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
+ Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
+ Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
+ Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
+ Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
+ Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
+ Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
+ Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
+ Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
+ Mentor and develop a high-performing team of data operations analysts and leads.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in biotech/pharma domain companies.
+ Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
+ Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
+ Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
+ Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
+ Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
+ Excellent leadership, communication, and stakeholder engagement skills.
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Life Sciences/Pharma
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Doctorate Degree with 3-5 + years of experience in Computer Science, IT or related field
+ OR
+ Master's degree with 6 - 8 + years of experience in Computer Science, IT or related field
+ OR
+ Bachelor's degree with 10 - 12 + years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.