FirstHive - Lead DataOps Engineer - ETL/ELT Pipelines

4 days ago

Bengaluru, Karnataka, India FirstHive | CDP+AI Data Platform Full time ₹ 2,00,00,000 - ₹ 4,00,00,000 per year

Job Designation :
Senior Data Ops Engineer Team Lead

Job Location :
Bengaluru

Key Responsibilities
Leadership & Team Management :

  • Lead and mentor a team of DataOps engineers in designing and maintaining robust data pipelines.
  • Plan, assign, and review team tasks to ensure timely and quality delivery.
  • Collaborate with data engineers, data scientists, and business teams to prioritize data needs and ensure alignment with organizational goals.
  • Drive best practices in coding standards, documentation, and deployment automation.

Technical Delivery

  • Design and implement scalable ETL/ELT pipelines using Pentaho, StreamSets, and Python-based frameworks.
  • Manage real-time and batch data ingestion using Kafka for streaming and MySQL/Snowflake for storage and transformation.
  • Implement and maintain data quality checks, validation, and reconciliation frameworks.
  • Ensure pipeline observability, error handling, and alerting mechanisms for proactive issue resolution.
  • Optimize Snowflake and MySQL queries for performance and cost efficiency.
  • Lead migration or modernization initiatives (e.g., on-prem to Snowflake/cloud).

Governance & Operations

  • Maintain data security, access control, and compliance with enterprise standards.
  • Define and track DataOps KPIs such as pipeline success rates, latency, and data quality metrics.
  • Partner with Infrastructure and DevOps teams for seamless environment management and scalability.

Databases
Technical Skills Required :

  • Strong expertise in MySQL (query optimization, stored procedures, schema design).
  • Advanced knowledge of Snowflake (data modelling, performance tuning, cost optimization).

ETL & Data Pipeline Tools

  • Hands-on experience with Pentaho Data Integration (Kettle) and/or StreamSets for ETL/ELT automation.

Streaming

  • In-depth understanding of Apache Kafka (topic configuration, producer/consumer setup, schema registry, stream processing).

Programming

  • Proficient in Python for data automation, transformation scripts, and integration with APIs.

Monitoring & Observability

  • Familiarity with Grafana, Prometheus, or similar tools for performance and error tracking.

Cloud

  • Exposure to AWS/Azure/GCP data stack (S3, Lambda, Glue, Dataflow, etc.).

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