Job Description

Description

Key Responsibilities :

  • Extract and process data from multiple databases, APIs, and cloud platforms by establishing strong source connections.
  • Design, develop, and maintain ETL pipelines for efficient data transformation and ingestion.
  • Write and optimize complex SQL queries for data extraction, validation, and reporting.
  • Utilize PySpark and BigData technologies (Hadoop, Spark, Databricks, etc.) to process and analyze large datasets.
  • Perform data analysis using Python (Pandas, NumPy, etc.) to uncover trends, patterns, and insights.
  • Develop and maintain interactive dashboards and reports in Power BI (good to have).
  • Work with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Experience in Data warehouse schema creation and optimization
  • Ensure data accuracy, security, and compliance with compa...

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