268 Etl Processes jobs in Hyderabad

? **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.

**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.

**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 Data Solutions Architect with deep expertise in Biotech/Pharma to design, implement, and optimize scalable and high-performance data solutions that support enterprise analytics, AI-driven insights, and digital transformation initiatives. This role will focus on data strategy, architecture, governance, security, and operational efficiency, ensuring seamless data integration across modern cloud platforms. The ideal candidate will work closely with engineering teams, business stakeholders, and leadership to establish a future-ready data ecosystem, balancing performance, cost-efficiency, security, and usability. This position requires expertise in modern cloud-based data architectures, data engineering best practices, and Scaled Agile methodologies.
**Roles & Responsibilities:**
+ Design and implement scalable, modular, and future-proof data architectures that initiatives in enterprise.
+ Develop enterprise-wide data frameworks that enable governed, secure, and accessible data across various business domains.
+ Define data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency, and usability across analytical platforms.
+ Lead the development of high-performance data pipelines for batch and real-time data processing, integrating APIs, streaming sources, transactional systems, and external data platforms.
+ Optimize query performance, indexing, caching, and storage strategies to enhance scalability, cost efficiency, and analytical capabilities.
+ Establish data interoperability frameworks that enable seamless integration across multiple data sources and platforms.
+ Drive data governance strategies, ensuring security, compliance, access controls, and lineage tracking are embedded into enterprise data solutions.
+ Implement DataOps best practices, including CI/CD for data pipelines, automated monitoring, and proactive issue resolution, to improve operational efficiency.
+ Lead Scaled Agile (SAFe) practices, facilitating Program Increment (PI) Planning, Sprint Planning, and Agile ceremonies, ensuring iterative delivery of enterprise data capabilities.
+ Collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals.
+ Act as a trusted advisor on emerging data technologies and trends, ensuring that the enterprise adopts cutting-edge data solutions that provide competitive advantage and long-term scalability.
**Must-Have Skills:**
+ Experience in data architecture, enterprise data management, and cloud-based analytics solutions.
+ Well versed in domain of Biotech/Pharma industry and has been instrumental in solving complex problems for them using data strategy.
+ Expertise in Databricks, cloud-native data platforms, and distributed computing frameworks.
+ Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL, and data virtualization.
+ Experience designing high-performance ETL/ELT pipelines and real-time data processing solutions.
+ Deep understanding of data governance, security, metadata management, and access control frameworks.
+ Hands-on experience with CI/CD for data solutions, DataOps automation, and infrastructure as code (IaC).
+ Proven ability to collaborate with cross-functional teams, including business executives, data engineers, and analytics teams, to drive successful data initiatives.
+ Strong problem-solving, strategic thinking, and technical leadership skills.
+ Experienced with SQL/NOSQL database, vector database for large language models
+ 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
**Good-to-Have Skills:**
+ Experience with Data Mesh architectures and federated data governance models.
+ Certification in cloud data platforms or enterprise architecture frameworks.
+ Knowledge of AI/ML pipeline integration within enterprise data architectures.
+ Familiarity with BI & analytics platforms for enabling self-service analytics and enterprise reporting.
**Education and Professional Certifications**
+ 9 to 12 years of experience in Computer Science, IT or related field
+ 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.
+ Ability to learn quickly, be organized and detail oriented.
+ 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.

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.
**Data Engineering Manager**
**What you will do**
Let's do this. Let's change the world. In this vital role you 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.
+ 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 running 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 key partner discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.
+ Drive Agile and Scaled Agile (SAFe) methodologies, handling 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 uses the latest innovations in data engineering and architecture.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. 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.
**Basic Qualifications:**
+ Doctorate degree **OR**
+ Master's degree and 4 to 6 years of experience in Computer Science, IT or related field **OR**
+ Bachelor's degree and 6 to 8 years of experience in Computer Science, IT or related field **OR**
+ Diploma and 10 to 12 years of experience in Computer Science, IT or related field
+ Experience leading 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.
**Preferred Qualifications:**
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
+ Project Management certifications preferred
+ Data Engineering Management experience in Biotech/Pharma is a plus
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**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 handle 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.

Job Location: Hyderabad, Indore and Ahmedabad (India)
What You Will Do:
Following are high level responsibilities that you will play but not limited to:
· Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.
· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.
· Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.
· Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.
· Work with large datasets and optimize queries and pipelines for performance and scalability.
· Ensure data quality, integrity, and availability throughout the data lifecycle.
· Automate repetitive data tasks, ensuring timely and accurate reporting.
· Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.
· Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.
· Write clear, efficient, and maintainable code for data transformations and automation.
Required Qualifications:
· Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
· 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.
· Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.
· Strong experience in Power BI, including report creation, dashboard development, and data modeling.
· Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).
· Knowledge of cloud platforms, especially Microsoft Azure.
· Familiarity with data warehousing concepts and ETL processes.
· Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).
· Strong programming skills in languages such as Python, SQL, or other relevant languages.
· Ability to troubleshoot and optimize data pipelines for performance and reliability.
Preferred Qualifications:
· Familiarity with data modeling techniques and practices for Power BI.
· Knowledge of Azure Databricks or other data processing frameworks.
· Knowledge of Microsoft Fabric or other Cloud Platforms.
What we need?
· B. Tech computer science or equivalent.
Why join us?
· Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
· Gain hands-on experience in content marketing with exposure to real-world projects.
· Opportunity to learn from experienced professionals and enhance your marketing skills.
· Contribute to exciting initiatives and make an impact from day one.
· Competitive stipend and potential for growth within the company.
· Recognized for excellence in data and AI solutions with industry awards and accolades.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

Data Engineering Supervisor

You Are:  A skilled Data Engineering, Modeling, and Analytics professional with experience working within a team setting to design, deploy, and support data and analytics solutions. You have played roles such as Data Engineer, Database Administrator, Data Analyst, and/or Data Steward. You are a strong communicator, enjoy solving problems, and are looking to take on a supervisory role in a growing team.

In your past experience, you have worked on mid to large-scale data projects, utilizing SQL or Python to manage data entities in various database platforms. You have experience with ERPs, CRMs, or other OLTP systems and have converted their data formats to new snowflake or star schema formats using ETL tools or procedures. People around you often turn to you for guidance on data integration, data migration, or general data engineering challenges.

The Team:  Our Data Engineering team includes members with both consulting and industry backgrounds who specialize in deploying scalable and sustainable solutions that save time and resources. Our team is growing rapidly and continuously looks for ways to improve our delivery methods and technical solutions. We also focus on enhancing our team's skillsets through certifications and regular training opportunities.

Our team strives to be trusted advisors and well-rounded individuals, both at work and outside the office. We enjoy meeting virtually and in person at company-sponsored events and innovating with emerging technologies. We also prioritize maintaining a healthy work-life balance while managing client obligations.

Work You'll Do:

Collaborate with the company's internal teams to support clients throughout ERP migrations and related projects.

Work closely with external client business, data, technical, project management, and partner teams to build relationships, deliver projects, and explore new solutions.

Document project scope, create estimates, and form timelines based on client conversations and surveys.

Manage engagement financials and project plans to ensure on-budget and on-time delivery.

Assist in client assessments of current state people, process, technology, and data through surveys, interviews, workshops, and data profiling.

Define development plans, requirements, and solution architectures for data pipelines, lakes, warehouses, analytics, and governance use cases.

Work with data in both 3NF and Star Schemas, define data mappings, reference data, and data lineage.

Develop and demonstrate technical solutions using technologies such as T-SQL, Python, AWS, Azure Data Factory, Power BI, Tableau, and others.

Complete certifications in various frameworks, technologies, and methodologies.

Triage and resolve bugs/defects, manage Quality Assurance (QA) and test plans.

Support practice management efforts, participate in future hiring, performance management, and development plans for new team members.

Provide thought leadership and author digital content such as how-to articles, white papers, and other materials for the company website or industry journals.

We'd Like You to Have:

Experience partnering on ERP migrations or other specialty projects.

5-8 years in a data and analytics role.

At least 2 years of supervisory or team lead experience.

At least 3 years of external client service experience.

Experience with commonly used ERP or CRM systems such as NetSuite, D365, Salesforce, Oracle Fusion, etc.

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at .

RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the in the Indian Armed Forces; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. 

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at .