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Senior Data Engineer

4 - 6 years

5 - 10 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

What Youll Do:

  • Build and maintain robust, scalable ETL/ELT pipelines for large-scale, high-volume, and multi-modal datasets.
  • Architect and manage data lakes, warehouses, and marts for structured and unstructured data.
  • Collaborate with ML, NLP, and Speech teams to deliver high-quality, ML-ready datasets.
  • Implement data quality checks, lineage tracking, versioning, and compliance controls.
  • Optimize pipeline performance and handle infrastructure reliability and observability (logging, alerting, monitoring).
  • Develop internal tools and workflows to automate ingestion, labeling, and transformation processes.
  • Mentor junior engineers and help establish best practices in data engineering and MLOps.

What We’re Looking For:

  • 4+ years of experience in data engineering or backend systems for ML/AI workflows.
  • Advanced SQL skills and experience with analytical databases (PostgreSQL, BigQuery, Redshift, Snowflake).
  • Strong Python or Scala skills for data transformation and pipeline orchestration.
  • Proficiency with workflow tools like Airflow, Prefect, or DBT.
  • Experience with cloud platforms (AWS, GCP, or Azure), object storage (e.g., S3, GCS).
  • Familiarity with big data frameworks (Spark, Hadoop) and distributed computing.
  • Solid understanding of data modeling, partitioning, and performance optimization.
  • Comfort with CI/CD workflows, version control (Git), Docker, and Kubernetes.

Nice to Have:

  • Experience with real-time data pipelines using Kafka, Flink, or Spark Streaming.
  • Exposure to ML data lifecycle: labeling, augmentation, training, evaluation.
  • Knowledge of data governance, security, PII compliance, and auditability.
  • Prior leadership experience or ownership of major data initiatives.

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