Senior Data Systems Architect

23 hours ago


Gurgaon, Haryana, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Senior Data Engineer

This role is about designing, developing and maintaining large-scale data systems.

  • Design and develop scalable ETL pipelines for ingesting and transforming large datasets.
  • Architect and optimize data warehouses and data lakes for high-performance analytics.
  • Implement real-time and batch data processing using Apache Spark, Kafka, and Airflow.
  • Work with structured and unstructured data across multiple storage solutions.
  • Ensure data quality, consistency, and integrity across multiple sources.
  • Optimize SQL queries and database schemas for performance and cost efficiency.
  • Implement data governance, security, and access controls.
  • Collaborate with engineering, product, and analytics teams to design data models.
  • Monitor and troubleshoot data pipeline failures and performance issues.
  • Contribute to system design discussions, code reviews, and documentation.

Requirements :

  • 5+ years of experience in data engineering and big data processing.
  • Strong proficiency in Python and SQL for data transformation and querying.
  • Expertise in Apache Spark, Kafka, and Airflow for real-time and batch processing.
  • Experience with cloud data warehouses.
  • Hands-on experience in ETL development, data modeling, and schema design.
  • Strong knowledge of data partitioning, indexing, and query optimization.
  • Experience with data lake architectures and storage formats like Parquet, ORC, Avro.
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Knowledge of monitoring tools (Prometheus, Grafana, ELK stack) for data infrastructure.
  • Ability to mentor junior engineers and lead data-driven decision-making.


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