Databricks Developer

3 days ago


Vijayawada, Andhra Pradesh, India beBeeDataInsights Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title: Databricks Developer - Data Insights Specialist

Job Description:

We are seeking a highly skilled Databricks developer to join our team as a Data Insights Specialist. In this role, you will be responsible for designing, developing, and maintaining ETL processes to extract, transform, and load data from various sources into our data lake and data warehouse.

You will work closely with data engineers, data scientists, and business intelligence teams to build and optimize data workflows that support the project's analytics and reporting needs.

Responsibilities:
  • ETL Development:
    • Design and develop ETL processes using Databricks PySpark to extract, transform, and load data from heterogeneous sources into our data lake and data warehouse.
    • Optimize ETL 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 ETL processes.
    • 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.
  • Data Pipeline Management:
    • Hands-on experience in creating advanced data pipelines using Databricks workflows.
    • Develop and maintain data pipelines using Databricks PySpark, ensuring data quality, integrity, and reliability throughout the ETL lifecycle.
    • Collaborate with data engineering, data science, and business intelligence teams to translate data requirements into efficient ETL workflows and pipelines.
  • Data Analysis and Query Optimization:
    • Write and optimize complex SQL queries for data manipulation, aggregation, and analysis within Databricks PySpark applications.
  • Project Coordination and Continuous Improvement:
    • Participate in project planning and coordination activities to ensure timely delivery of ETL solutions.
    • Stay updated on the latest developments in Databricks PySpark, Spark SQL, and related technologies, recommending and implementing best practices and optimizations.
    • Document ETL processes, data lineage, and metadata to facilitate knowledge sharing and ensure compliance with data governance standards.


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