Senior Data Engineer

8 years

25 - 30 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Job Title:

Senior Data Engineer

Experience:

8+ Years

Location:

Remote

Employment Type:

Full-time

Role Overview

We are seeking a highly skilled

Senior Data Engineer

with proven expertise in designing and building scalable data pipelines. The ideal candidate will have hands-on experience in

Python

and

AWS Glue

, strong SQL skills, and deep knowledge of

ETL best practices, data modeling, and warehousing

. This role requires someone who can work collaboratively with cross-functional teams to deliver high-quality data solutions that drive business insights.

Key Responsibilities

  • Design, develop, and optimize ETL pipelines using AWS Glue and Python.
  • Perform complex data transformations and ensure data quality, consistency, and usability.
  • Integrate data from multiple structured and unstructured sources.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights.
  • Implement data governance, security, and compliance best practices.
  • Monitor, debug, and optimize data workflows for performance and scalability.
  • Contribute to continuous improvement of the data engineering process, tools, and practices.

Required Skills & Experience

  • 5–10 years of experience in data engineering / ETL development.
  • Strong proficiency in Python (pandas, PySpark, boto3).
  • Hands-on experience with AWS Glue and AWS Data Ecosystem (S3, Athena, Redshift, Lambda).
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Solid understanding of data modeling, warehousing, and schema design.
  • Familiarity with CI/CD for data pipelines (Git, Jenkins, etc.) is a plus.
  • Excellent problem-solving, debugging, and performance optimization skills.
Skills: python,glue,etl,data,pipelines,aws

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