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Job Opening For Data Platform Engineer

Qapitol Qa

3 - 8 years

Hyderabad Bengaluru

Posted:10 hours ago

Job Description

  • Design, develop, build, and maintain scalable data ingestion and transformation pipelines using Python, SQL, PySpark, and ETL/ELT frameworks.
  • Develop and manage batch and streaming data processing workflows to support business and analytical requirements.
  • Work with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, AWS, or Google Cloud.
  • Build and maintain data lakes, lakehouses, and data warehouse solutions using Delta Lake, Parquet, and other modern storage formats.
  • Implement data modelling, data validation, data quality checks, and data reconciliation processes.
  • Develop and optimise SQL queries, Spark jobs, and data processing workflows for improved performance.
  • Implement workflow orchestration using Apache Airflow or equivalent orchestration tools.
  • Work with dbt for data transformation, testing, and documentation.
  • Understand Kafka fundamentals and support event-driven and real-time data ingestion requirements.
  • Implement incremental data loading, partitioning strategies, and schema evolution.
  • Monitor pipeline execution, troubleshoot failures, identify root causes, and ensure data pipeline reliability.

Skills Required

Snowflake Data Bricks SQL Data Python Kafka

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