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Agilisium is looking out For Lead/Senior AWS Data Engineer

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 Agilisium is looking out For Lead/Senior AWS Data Engineer

Job Description

Essential Skills / Experience:

  • 5 to 10 years of professional experience in Data Engineering or a related field.
  • Strong programming experience with Python and experience using Python for data wrangling, pipeline automation, and scripting.
  • Deep expertise in writing complex and optimized SQL queries on large-scale datasets.
  • Solid hands-on experience with PySpark and distributed data processing frameworks.
  • Expertise working with Databricks for developing and orchestrating data pipelines.
  • Experience with AWS cloud services such as S3, Glue, EMR, Athena, Redshift, and Lambda.
  • Practical understanding of ETL/ELT development patterns and data modeling principles (Star/Snowflake schemas).
  • Experience with job orchestration tools like Airflow, Databricks Jobs, or AWS Step Functions.
  • Understanding of data lake, lakehouse, and data warehouse architectures.
  • Familiarity with DevOps and CI/CD tools for code deployment (e.g., Git, Jenkins, GitHub Actions).
  • Strong troubleshooting and performance optimization skills in large-scale data processing environments.
  • Excellent communication and collaboration skills, with the ability to work in cross-functional agile teams.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Agilisium
Location(s): Hyderabad

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Keyskills:   Pyspark AWS Data Bricks Python SQL Airflow Data Modeling

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Agilisium

Agilisium is a Los Angeles based AWS Advanced Consulting Partner with Big Data, EMR and Redshift competency. Agilisium exists to help organizations accelerate their Data-to-Insights-Leap. To this end, Agilisium has invested in all stages of data journey: Data Architecture Consulting, Data Integratio...