Data Engineer

Location: Pune, Chennai, Delhi, Bengaluru, Kolkata, Hyderabad, Mumbai, Gurugram, Noida   •   Experience: Senior Level   •   Openings: 6
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Job description

Key Responsibilities
  • Design, develop, and maintain data pipelines using Databricks and Apache Spark.
  • Integrate and manage Composite applications for enterprise data workflows.
  • Optimize ETL/ELT processes for performance, scalability, and reliability.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets.
  • Implement best practices for data governance, security, and compliance.
  • Monitor and troubleshoot data workflows to ensure high availability and accuracy.
  • Contribute to architectural decisions for cloud based big data solutions
  • Hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow).
  • Knowledge of Composite applications for enterprise integration.
  • Solid understanding of data warehousing, ETL/ELT pipelines, and distributed systems.
  • Experience with cloud platforms (Azure, AWS or GCP).
  • Familiarity with SQL, Python, and REST APIs.
  • Strong problem-solving and debugging skills in large-scale data environments.