Data Developer Position

3 days ago


Dombivli, Maharashtra, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Senior Data Developer

We are seeking a skilled Senior Data Developer to join our team.

Job Description:

The successful candidate will be responsible for designing, developing and maintaining large-scale ETL processes using Databricks PySpark. This includes extracting, transforming and loading data from various sources into data lakes and warehouses.

Key Responsibilities:

  • Design and develop robust ETL workflows to efficiently extract, transform and load large datasets into our data lake and warehouse.
  • Optimize ETL performance and scalability by leveraging Databricks PySpark and Spark SQL.
  • Implement error handling and monitoring mechanisms to ensure prompt detection and resolution of issues within ETL processes.
  • Design and implement data solutions following the Medallion Architecture principles.
  • Ensure data is properly cleansed, enriched and optimized at each stage to support robust analytics and reporting.

Data Pipeline Management:

The ideal candidate will have hands-on experience in creating advanced data pipelines using Databricks workflows and developing and maintaining data pipelines using Databricks PySpark.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • Minimum 3 years' experience as an ETL developer with expertise in 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.
  • Expertise in writing and optimizing complex SQL queries.
  • Proven experience working with large-scale data warehousing and ETL frameworks.

Preferred Qualifications:

  • Experience with cloud platforms, preferably AWS.
  • Experience with data platform tools such as DataBricks, Snowflake and Tableau.
  • Demonstrated ability to implement best practices for ETL processes and data management.


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