Collabera Digital | Data Engineer | gurugram

1 month ago


gurugram, India Collabera Digital Full time

Position Details:


Job Title: Data Engineer

Experience : 3+ years

Location: Pune

Job Details and Requirements:

What You’ll Bring:

  • Programming/Scripting Languages: Proficiency in Python, SQL, and PySpark is required.
  • Cloud Platforms: Experience with AWS or Azure, specifically in building data pipelines, is needed.
  • Cloud-Based Data Platforms: Working knowledge of Snowflake and Databricks is preferred.
  • Data Pipeline Orchestration: Experience with Azure Data Factory and AWS Glue for orchestrating data pipelines is necessary.
  • Relational Databases: Competency with relational databases such as PostgreSQL and MySQL is required, while experience with NoSQL databases is a plus.
  • BI Tools: Knowledge of BI tools such as Tableau and PowerBI is expected.
  • CI/CD for Data Pipelines: Experience in implementing continuous integration and delivery for data workflows using tools like Azure DevOps is essential.


  • Big Data Technologies: Proficiency in working with big data technologies, particularly in the context of Azure Databricks, which may include Apache Spark for distributed data processing.
  • Azure Databricks: In-depth knowledge of Azure Databricks for data engineering tasks, including data transformations, ETL processes, and job scheduling.
  • SQL and Query Optimization: Strong SQL skills for data manipulation and retrieval, along with the ability to optimize queries for performance in Snowflake.
  • ETL (Extract, Transform, Load): Expertise in designing and implementing ETL processes to move and transform data between systems, utilizing tools and frameworks available in Azure Databricks.
  • Data Integration: Experience with integrating diverse data sources into a cohesive and usable format, ensuring data quality and integrity.
  • Python/PySpark: Knowledge of programming languages like Python and PySpark for scripting and extending the functionality of Azure Databricks notebooks.
  • Version Control: Familiarity with version control systems, such as Git, for managing code and configurations in a collaborative environment.
  • Monitoring and Optimization: Ability to monitor data pipelines, identify bottlenecks, and optimize performance for both Azure Data Factory
  • Security and Compliance: Understanding of security best practices and compliance considerations when working with sensitive data in Azure and Snowflake environments.
  • Snowflake Data Warehouse: Experience in designing, implementing, and optimizing data warehouses using Snowflake, including schema design, performance tuning, and query optimization.
  • Healthcare Domain Knowledge: Familiarity with US health plan terminologies and datasets is essential.



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