ETL Data Engineer

3 days ago

Mumbai Metropolitan Region, India Information Technology Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Key Responsibilities

  • Design, develop, and maintain robust data pipelines and ETL/ELT workflows using PySpark, Python, and SQL.
  • Build and manage data ingestion and transformation processes from various sources including Hive, Kafka, and cloud-native services.
  • Orchestrate workflows using Apache Airflow and ensure timely and reliable data delivery.
  • Work with large-scale big data systems to process structured and unstructured datasets.
  • Implement data quality checks, monitoring, and alerting mechanisms.
  • Collaborate with cross-functional teams including data scientists, analysts, and product managers to understand data requirements.
  • Optimize data processing for performance, scalability, and cost-efficiency.
  • Ensure compliance with data governance, security, and privacy Skills & Qualifications :
  • 5+ years of experience in data engineering or related roles.
  • Strong programming skills in Python and PySpark.
  • Proficiency in SQL and experience with Hive.
  • Hands-on experience with Apache Airflow for workflow orchestration.
  • Experience with Kafka for real-time data streaming.
  • Solid understanding of big data ecosystems and distributed computing.
  • Experience with GCP (BigQuery, Dataflow, Dataproc)
  • Ability to work with both structured (e.g., relational databases) and unstructured (e.g., logs, images, documents) data.
  • Familiarity with CI/CD tools and version control systems (e.g., Git).
  • Knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Exposure to data cataloging and governance tools (e.g., AWS Lake Formation, Google Data Catalog).
  • Understanding of data modeling and architecture principles.

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