Senior ETL Developer

2 days ago


Salem, Tamil Nadu, India beBeeETL Full time ₹ 20,00,000 - ₹ 40,00,000
Senior ETL Developer

We are seeking a highly skilled Senior ETL Developer to join our team and help us design, develop, and maintain efficient data pipelines.

  • Key Responsibilities:
  • 1. Data Pipeline Development:
  • Design and develop robust data pipelines using Databricks PySpark to extract, transform, and load data from heterogeneous sources into our data lake and data warehouse.
  • Optimize data pipeline workflows for performance and scalability, leveraging Databricks PySpark and Spark SQL to efficiently process large data volumes.
  • Implement robust error handling and monitoring mechanisms to proactively detect and resolve issues within data pipelines.
  • Design and implement data solutions following the Medallion Architecture principles, organizing data into Bronze, Silver, and Gold layers.
  • Ensure data is appropriately cleansed, enriched, and optimized at each stage to support robust analytics and reporting.
  • 2. Data Management:
  • Develop and maintain data pipelines using Databricks PySpark, ensuring data quality, integrity, and reliability throughout the data lifecycle.
  • Collaborate with data engineering, data science, and business intelligence teams to translate data requirements into efficient data pipelines and workflows.
  • 3. Query Optimization:
  • Write and optimize complex SQL queries for data manipulation, aggregation, and analysis within Databricks PySpark applications.
  • 4. Project Coordination and Continuous Improvement:
  • Participate in project planning and coordination activities to ensure timely delivery of data solutions.
  • Stay updated on the latest developments in Databricks PySpark, Spark SQL, and related technologies, recommending and implementing best practices and optimizations.
  • Document data pipelines, data lineage, and metadata to facilitate knowledge sharing and ensure compliance with data governance standards.
  • Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 3 years of experience as an ETL developer, with a strong focus on Databricks PySpark development.
  • Proficiency in Python programming, with extensive experience in developing and debugging Databricks PySpark applications.
  • In-depth understanding of Spark architecture and internals, with hands-on experience in Spark RDDs, DataFrames, and Spark SQL.
  • Expertise in writing and optimizing complex SQL queries for data manipulation, aggregation, and analysis.
  • Proven experience in working with large-scale data warehousing and ETL frameworks.
  • Strong problem-solving skills and the ability to troubleshoot and resolve data pipeline issues.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Preferred Skills and Qualifications:
  • Experience with cloud platforms with a preference for AWS.
  • Experience with data platform tools such as DataBricks, Snowflake, and Tableau.
  • Demonstrated ability to implement best practices for data management.
  • Strong understanding of data governance and data quality principles.
  • Relevant certifications in Databricks PySpark, Spark SQL, or related technologies.
Benefits

The ideal candidate will be offered a competitive salary and benefits package, including comprehensive health insurance, retirement plan, and paid time off.



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