Staff Data Engineer

756

Bangalore, India
12+ years of data engineering experience
Deep expertise in apache airflow
Strong experience with aws glue
The role focuses on reducing model deployment time by leveraging advanced tools, automation, and modern engineering practices

Job Summary

  • The role focuses on reducing model deployment time by leveraging advanced tools, automation, and modern engineering practices.
  • Candidates will design and maintain scalable ETL pipelines using AWS Glue, PySpark, and Spark while orchestrating workflows with Apache Airflow.
  • This position requires collaborating with data scientists and analysts to deliver reliable data solutions that support predictions and reporting.

Matching Summary

The role focuses on reducing model deployment time by leveraging advanced tools, automation, and modern engineering practices.

Skills & Requirements

Must-have

  • 12+ years of Data Engineering experience
  • Deep expertise in Apache Airflow
  • Strong experience with AWS Glue
  • Proficiency in Python programming
  • Experience with PySpark and Spark

Nice-to-have

  • Strong problem-solving abilities
  • Excellent communication skills
  • Ability to thrive in cross-functional teams
  • Knowledge of Hadoop or Teradata systems
  • Familiarity with data governance policies

Key Requirements

  • Bachelor's or Master's degree in Computer Science or IT
  • 12+ years of experience in Data Engineering
  • Engineering qualification in relevant field

Work Rights

Not specified

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