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Associate Data Engineer

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Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Responsibility:

  • Develop, test, and maintain data pipelines using Databricks, PySpark, and Python
  • Ingest, transform, and process structured and semi-structured data from multiple sources
  • Support the development of scalable ETL/ELT workflows for analytics, reporting, and machine learning use cases
  • Work with data engineers, analysts, and data scientists to understand data requirements and deliver reliable datasets
  • Perform data cleansing, validation, and quality checks to ensure accuracy and consistency
  • Optimize Spark jobs and Databricks notebooks for performance, reliability, and cost efficiency
  • Create and maintain documentation for data pipelines, workflows, data definitions, and processes
  • Assist in troubleshooting pipeline failures, data issues, and performance bottlenecks
  • Follow best practices for version control, code quality, testing, and deployment
  • Support basic AI/ML data preparation activities, including feature engineering, dataset creation, and model input preparation
  • Monitor scheduled jobs and workflows to ensure timely and successful data delivery
  • Collaborate with cross-functional teams in an Agile or iterative development environment

Requirements:

  • 2-6 years of experience with Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience
  • Hands-on experience with Python for data processing, scripting, and automation
  • Strong working knowledge of PySpark and distributed data processing concepts
  • Proven hands-on experience using Databricks for data engineering, including notebooks, clusters, jobs, workflows, Delta tables, and performance optimization
  • Ability to build, maintain, and troubleshoot scalable ETL/ELT pipelines in Databricks
  • Experience working with Delta Lake and lakehouse architecture concepts
  • Working knowledge of SQL for querying, transforming, and validating data
  • Ability to work with structured and semi-structured data formats such as CSV, JSON, Parquet, and Delta
  • Understanding of data engineering concepts such as ETL/ELT, data pipelines, data lakes, data warehouses, batch processing, and data quality
  • Basic understanding of AI and machine learning concepts, including features, training datasets, model inputs/outputs, and model evaluation basics
  • Experience supporting data preparation or feature engineering for AI/ML use cases
  • Familiarity with cloud-based data platforms, preferably AWS, Azure, or GCP
  • Understanding of Git or other version control tools
  • Strong analytical, problem-solving, and troubleshooting skills
  • Good communication skills and ability to work collaboratively with technical and non-technical stakeholders
  • Willingness to learn new tools, technologies, and data engineering best practices

Nice to have:

  • Exposure to Delta Lake, Unity Catalog, or Lakehouse architecture
  • Experience with workflow orchestration tools or Databricks Jobs
  • Familiarity with CI/CD practices for data engineering projects
  • Exposure to machine learning workflows using MLflow, scikit-learn, or similar tools
  • Experience with Tableau, Power BI, or similar data visualization tools to create dashboards, support reporting needs, validate datasets, and perform exploratory analysis
  • Understanding of data governance, security, and access control concepts
  • Experience working in an Agile/Scrum environment

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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