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Data Engineer

2 months ago

Gurugram, India True Tech Professionals Full time

Lead Data Engineer (Multiple Positions)

Location: Remote - Gurgaon (Office visit - once in a while - as and when required)

Experience:

4 to 6 years

Key Responsibilities:

  • Data Pipeline Development: Design, implement, and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or other storage solutions.
  • PySpark Expertise: Utilize PySpark to process large datasets and perform complex transformations. Optimize Spark jobs for performance and resource efficiency.
  • ETL Processes: Develop and manage ETL processes to ensure data integrity and quality. Monitor ETL jobs and troubleshoot issues as they arise.
  • Data Modeling: Create and maintain data models that support business requirements and analytics needs.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide timely, accurate data solutions.
  • Documentation: Document data pipeline architectures, ETL processes, and data models. Ensure documentation is up-to-date and accessible.
  • Performance Tuning: Continuously monitor and optimize the performance of data pipelines and ETL processes.
  • Data Quality: Implement and enforce data quality checks to ensure data accuracy and consistency.
  • Best Practices: Stay current with industry best practices and emerging technologies in data engineering and apply them to improve existing processes.


  • Technical Skills:
  • Proficiency in PySpark and Spark SQL.
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect).
  • Strong knowledge of SQL and experience with relational databases.
  • Familiarity with data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake).
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP).