3,401 Data Preprocessing jobs in India
Director Data Science & Data Engineering
Posted today
Job Viewed
Job Description
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Director – Data Science & Data Engineering
Shape the Future of AI-Driven eCommerce Discovery
About the Role
We're reimagining how people discover products in eCommerce—and we're looking for a visionary leader who blends technical depth with product intuition. If you're passionate about structured data, large language models, and building high-impact data products, this role is tailor-made for you.
As Director of Data Science & Data Engineering, you’ll lead a talented team of data scientists, analysts, and engineers working at the cutting edge of AI/ML, product analytics, and taxonomy design. Your mission? Drive innovation in product discovery through smarter data, scalable infrastructure, and breakthrough AI-powered solutions.
You’ll join the Product Knowledge org and play a key role in designing the backbone of next-gen search, recommendations, and generative AI experiences.
This is a high-impact, high-agency role—perfect for a hands-on leader who thrives in fast-paced, collaborative environments.
What You’ll Work On
Lead and inspire a cross-functional team to:
Transform Product Data into Insights
Conduct deep-dive SQL and Python analyses to uncover opportunities in taxonomy, ontology, and catalog structure that enhance discovery and user experience.
Harness the Power of Generative AI
Use prompt engineering and LLMs to create innovative tools for classification, taxonomy validation, and data enrichment.
Build & Evaluate AI/ML Models
Design frameworks to evaluate product knowledge models, semantic embeddings, and ML-based categorization systems.
Drive Data-Informed Strategy
Translate complex findings into clear, actionable insights for Product and Engineering teams. Influence roadmap decisions on entity resolution, catalog optimization, and knowledge graph development.
Partner Across Functions
Collaborate closely with Applied Research, Engineering, and Product teams to build and deploy high-impact data and AI solutions at scale.
Experiment & Innovate Fast
Prototype quickly, validate hypotheses, and iterate on structured data and AI-driven solutions that push boundaries.
What You Bring
12+ years of experience in data science or analytics roles, including 5+ years leading teams
Proven track record building data products, knowledge graphs, and scalable data pipelines
Deep understanding of eCommerce search, recommendation systems, and product analytics
Hands-on experience with LLMs, prompt engineering, and RAG techniques (preferred)
Strong communication skills and ability to influence cross-functional stakeholders
Experience evaluating ML models with custom metrics and robust frameworks
Startup mindset—comfortable with ambiguity, bias for action, and fast iteration
Why Join Us
Be at the forefront of AI-powered product discovery in eCommerce
Own high-impact initiatives in a startup-style culture with real autonomy
Work alongside world-class talent across AI, Product, and Engineering
Build solutions that scale—serving millions of users and shaping the future of shopping
Ready to lead the next wave of AI + Data innovation in commerce? Let’s build the future together.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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Data Engineering
Posted 3 days ago
Job Viewed
Job Description
Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group’s 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.
The organization has been consistently recognized as a Great Place to Work™ receiving certifications in 2022 and 2023. As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India’s Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.
Function
Information Technology
Job Purpose
- The role incumbent will be responsible for managing, expanding and optimizing our data pipeline architecture and optimizing data flow and collection for cross functional teams. The incumbent will support our team of data analysts and scientists on data initiatives and will ensure optimal and timely data delivery. Candidate must be self-driven and comfortable supporting the data needs of multiple teams, systems and products. Candidate will play a major role as we work on building a superior and scalable architecture to enable leveraging data to the fullest extent.
Role
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Working knowledge of message queuing, stream processing, and big data data (optional)
- Perform sanity testing, issue reporting and tracking.
- Assist teams in UAT testing and resolve issues as per criticality,
- Handle audit and compliance activities for data platform.
- Track and manage system availability and maintenance tasks.
Qualification & experience
- Years of experience: 3-5 years of experience
- Qualification – Engineering / Certified Data Engineer
Essential skills
- Experience with data pipeline and workflow management tools.
- Knowledge of AWS cloud services, Data-Lake, Glue / Python/ PySpark/ Kafka/ API/ Change Data Capture, Streaming data, data modelling will be a key advantage.
- Experience with relational SQL and NoSQL databases.
- Exposure to lending systems and domain
- Machine Learning skills
Ideal candidate (in terms of current role/ organization/ industry)
- An individual inclined to learn and explore new technologies and utilise the best out of the resources in hand.
- Able to influence and work in a collaborative manner
Data Engineering
Posted today
Job Viewed
Job Description
Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group’s 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.
The organization has been consistently recognized as a Great Place to WorkTM receiving certifications in 2022 and 2023. As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India’s Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.
Function
Information Technology
Job Purpose
- The role incumbent will be responsible for managing, expanding and optimizing our data pipeline architecture and optimizing data flow and collection for cross functional teams. The incumbent will support our team of data analysts and scientists on data initiatives and will ensure optimal and timely data delivery. Candidate must be self-driven and comfortable supporting the data needs of multiple teams, systems and products. Candidate will play a major role as we work on building a superior and scalable architecture to enable leveraging data to the fullest extent.
Role
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Working knowledge of message queuing, stream processing, and big data data (optional)
- Perform sanity testing, issue reporting and tracking.
- Assist teams in UAT testing and resolve issues as per criticality,
- Handle audit and compliance activities for data platform.
- Track and manage system availability and maintenance tasks.
Qualification & experience
- Years of experience: 3-5 years of experience
- Qualification – Engineering / Certified Data Engineer
Essential skills
- Experience with data pipeline and workflow management tools.
- Knowledge of AWS cloud services, Data-Lake, Glue / Python/ PySpark/ Kafka/ API/ Change Data Capture, Streaming data, data modelling will be a key advantage.
- Experience with relational SQL and NoSQL databases.
- Exposure to lending systems and domain
- Machine Learning skills
Ideal candidate (in terms of current role/ organization/ industry)
- An individual inclined to learn and explore new technologies and utilise the best out of the resources in hand.
- Able to influence and work in a collaborative manner
Data Engineering
Posted today
Job Viewed
Job Description
Job Title: Middleware Engineer
Position: Data Engineer
Experience: 5-6yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.
Roles and Responsibilities
Data Engineer - 5-6 years experience.
Responsibilities
===
Design, develop, and maintain data architectures, pipelines, and workflows for the collection, processing, storage, and retrieval of large volumes of structured and unstructured data from multiple sources.
Collaborate with cross-functional teams to identify and prioritize data engineering requirements and to develop and deploy data-driven solutions to address business challenges.
Build and maintain scalable data storage and retrieval systems (e.g., data lakes, data warehouses, databases), fault-tolerant, and high-performance data platforms on cloud infrastructure such as AWS, Azure, or Google Cloud Platform.
Develop and maintain ETL workflows, data pipelines, and data transformation processes to prepare data for machine learning and AI applications.
Implement and optimize distributed computing frameworks such as Hadoop, Spark, or Flink to support high-performance and scalable processing of large data sets.
Build and maintain monitoring, alerting, and logging systems to ensure the availability, reliability, and performance of data pipelines and data platforms.
Collaborate with Data Scientists and Machine Learning Engineers to deploy models on production environments and ensure their scalability, reliability, and accuracy.
Requirements:
===
Bachelor s or master s degree in computer science, engineering, or related field.
At least 5-6 years of experience in data engineering, with a strong background in machine learning, cloud computing and big data technologies.
Experience with at least one major cloud platform (AWS, Azure, GCP).
Proficiency in programming languages like Python, Java, and SQL.
Experience with distributed computing technologies such as Hadoop, Spark, and Kafka.
Familiarity with database technologies such as SQL, NoSQL, NewSQL.
Experience with data warehousing and ETL tools such as Redshift, Snowflake, or Airflow.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Preferred qualification:
===
Experience with DevOps practices and tools such as Docker, Kubernetes, or Ansible, Terraform.
Experience with data visualization tools such as Tableau, Superset, Power BI, or Plotly, D3.js.
Experience with stream processing frameworks such as Kafka, Pulsar or Kinesis.
Experience with data governance, data security, and compliance.
Experience with software engineering best practices and methodologies such as Agile or Scrum.
Must Have Skills
===
data engineer with expertise in machine learning, cloud computing , and big data technologies.
Data Engineering Experince on multiple clouds one of them , preferably GCP
data lakes, data warehouses, databases
ETL workflows, data pipelines,data platforms
Hadoop, Spark, or Flink
Hadoop, Spark, and Kafka
SQL, NoSQL, NewSQL
Redshift, Snowflake, or Airflow
Data Engineering
Posted today
Job Viewed
Job Description
Some careers shine brighter than others.
If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of Business Analyst
In this role, you will:
To be successful in this role, you should meet the following requirements:
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.
Data Engineering
Posted 4 days ago
Job Viewed
Job Description
Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group’s 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.
The organization has been consistently recognized as a Great Place to Work™ receiving certifications in 2022 and 2023. As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India’s Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.
Function
Information Technology
Job Purpose
- The role incumbent will be responsible for managing, expanding and optimizing our data pipeline architecture and optimizing data flow and collection for cross functional teams. The incumbent will support our team of data analysts and scientists on data initiatives and will ensure optimal and timely data delivery. Candidate must be self-driven and comfortable supporting the data needs of multiple teams, systems and products. Candidate will play a major role as we work on building a superior and scalable architecture to enable leveraging data to the fullest extent.
Role
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Working knowledge of message queuing, stream processing, and big data data (optional)
- Perform sanity testing, issue reporting and tracking.
- Assist teams in UAT testing and resolve issues as per criticality,
- Handle audit and compliance activities for data platform.
- Track and manage system availability and maintenance tasks.
Qualification & experience
- Years of experience: 3-5 years of experience
- Qualification – Engineering / Certified Data Engineer
Essential skills
- Experience with data pipeline and workflow management tools.
- Knowledge of AWS cloud services, Data-Lake, Glue / Python/ PySpark/ Kafka/ API/ Change Data Capture, Streaming data, data modelling will be a key advantage.
- Experience with relational SQL and NoSQL databases.
- Exposure to lending systems and domain
- Machine Learning skills
Ideal candidate (in terms of current role/ organization/ industry)
- An individual inclined to learn and explore new technologies and utilise the best out of the resources in hand.
- Able to influence and work in a collaborative manner
Manager, Data Engineering
Posted 1 day ago
Job Viewed
Job Description
+ Lead and mentor a high-performing teams of local and remote engineers
+ Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed
+ Provide technical expertise and guidance to the team
+ Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines
+ Oversee the design, development, maintenance, scalability, reliability, and performance of the Industrial Systems' data platform pipelines and architecture.
+ Contribute to the long-term strategic direction of the Data Platform with a focus on enterprise use
+ Enforce and ensure data quality, data governance, and security standards
+ Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy
+ Communicate decisions effectively and transparently to internal and external customers
+ Stay updated on industry trends and emerging technologies to inform technical decisions
+ Lead to implement various business customers' requests and logics into the data assets with optimized design and code development
Qualifications Required:
+ Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics
+ 5+ years experience in Industrial Systems data (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR)
+ 5+ years of progressive responsibilities in a complex data environment
+ 3+ years' experience leading a software/data engineering team
+ 3+ years of experience in Big Data Environments or expertise with Big Data tools
+ Expertise in Google Cloud Platform
+ Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
Qualifications Required:
+ Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics
+ 5+ years experience in Industrial Systems data (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR)
+ 5+ years of progressive responsibilities in a complex data environment
+ 3+ years' experience leading a software/data engineering team
+ 3+ years of experience in Big Data Environments or expertise with Big Data tools
+ Expertise in Google Cloud Platform
+ Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
**Requisition ID** : 48940
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Data Engineering Manager
Posted 1 day ago
Job Viewed
Job Description
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
Data Engineering Consultant
Posted 2 days ago
Job Viewed
Job Description
**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_
Data Engineering Consultant
Posted 4 days ago
Job Viewed
Job Description
**Primary Responsibility:**
+ 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 Qualification:**
+ Undergraduate degree or equivalent experience
_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._