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Senior Data Engineer

Quantiphi

5 - 10 years

Bengaluru

Posted: 22/02/2026

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Job Description

Role: Senior Data Engineer

Experience Range: 3 to 9 years

Location: Bangalore


As a Senior Data Engineer, you will be responsible for building and delivering a Lakehouse-based data pipeline. This role is hands-on and focuses on implementing real-time and batch data ingestion, processing, and delivery workflows, while also ensuring monitoring, observability, and data quality across the pipeline.


Must have skills:

  • 3+ years of hands-on experience in building large-scale data pipelines.
  • Strong experience with Spark Streaming, AWS Glue, and EMR for processing both real-time and batch workloads
  • Proficiency in Pyspark/Python, including building Kafka producers for data ingestion
  • Experience working with Confluent Kafka/spark streaming for streaming ingestion from on-premise sources.
  • Solid understanding of AWS services including S3, Redshift, Glue, CloudWatch, and Secrets Manager
  • Experience working with Medallion architecture and hybrid data destinations (e.g., Redshift and on-premise Oracle)
  • Ability to implement monitoring dashboards and observability for pipelines using tools like CloudWatch or Datadog
  • Strong SQL skills for validating data accuracy and developing job-level metrics
  • Experience with building alerting mechanisms for pipeline failures and performance issues
  • Strong collaboration and communication skills
  • Proven ability to take ownership of technical deliverables, driving execution from design to deployment
  • Experience in guiding junior developers or data engineers, providing technical direction and code reviews to uphold best practices
  • AWS Data Engineering - Associate Certified.


Good to have skills:

  • Experience with orchestration tools like Apache Airflow or AWS Step Functions
  • Exposure to Bigdata stacks like Sqoop,HDFS,Hive,Nifi
  • Exposure to Terraform for infrastructure automation
  • Familiarity with CI/CD pipelines for data workflows

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