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Lead II - Data Engineering

UST·Thiruvananthapuram

Pay not stated7–9 yrsFull-time

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About the role

Design and develop API-driven systems to govern, manage, and monitor large-scale batch Big Data applications. Build scalable backend services and data engineering solutions that support data processing and operational workflows. Develop and maintain data transformation processes using PySpark, SQL, Hive, Python, Scala, and related technologies.

What you'll do

  • Design and develop API-driven systems to govern, manage, and monitor large-scale batch Big Data applications
  • Build scalable backend services and data engineering solutions that support data processing and operational workflows
  • Develop and maintain data transformation processes using PySpark, SQL, Hive, Python, Scala, and related technologies
  • Work with AWS cloud services such as S3, EC2, EMR, Lambda, DynamoDB, and API Gateway to build cloud-native data and backend solutions
  • Build and enhance workflow orchestration using Apache Airflow, including advanced DAG design, dependency management, scheduling, monitoring, and failure handling

What you need

  • 7–9 yrs of experience
  • Python
  • AWS
  • Spark
  • Airflow
  • ETL
  • REST APIs
  • Any graduate

Good to have

  • SQL
  • DynamoDB
  • Business analysis
  • Investment banking
  • Hive
  • Scala

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