5 - 10 years

25 - 30 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title: Senior Data Engineer AWS

Location:

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines for processing structured and unstructured data.
  • Build and optimize scalable data architectures on AWS using services like

    S3, Glue, Lambda, Redshift, EMR, Kinesis, Step Functions, DynamoDB

    .
  • Understand business and stakeholder requirements and translate them into technical solutions.
  • Develop scalable data solutions to support

    analytics, reporting, and BI initiatives

    .
  • Create automation scripts for

    data ingestion, data validation, and monitoring

    .
  • Ensure strong

    data governance, security, and compliance

    with industry standards.
  • Optimize data workflows for

    cost, performance, and reliability

    in AWS environments.
  • Collaborate closely with

    data scientists, analysts, and software engineering teams

    .
  • Troubleshoot production data issues and perform root cause analysis.

Required Skills & Qualifications

  • 5+ years of experience

    in Data Engineering or a related role.
  • Strong experience in building ETL/ELT pipelines using

    Python, SQL, or Spark

    .
  • Hands-on cloud experience with key AWS services:

    S3, Glue, Redshift, Lambda, EMR, IAM, EC2, Kinesis, CloudWatch

    .
  • Expertise in

    data warehousing, data modeling, schema design (Kimball / Inmon)

    .
  • Proficiency in

    Python

    and

    advanced SQL

    for complex data transformations.
  • Experience with

    Big Data technologies (Spark/Hadoop)

    added advantage.
  • Familiarity with

    CI/CD pipelines

    and

    IaC tools (Terraform / CloudFormation)

    .
  • Knowledge of

    API integrations & event-driven data processing

    .
  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • AWS Certifications (e.g.,

    AWS Data Analytics – Specialty / Solutions Architect

    )
  • Experience working with

    BI Tools

    – Tableau, QuickSight, Power BI
  • Exposure to

    machine learning workflows

  • Experience working in

    Agile/Scrum environments

Why Join Us

  • Opportunity to work on cutting-edge cloud and big data technologies
  • Collaborative & growth-focused team environment
  • Competitive salary & benefits
  • Support for continuous learning and AWS cloud certifications

Interview & Joining

Face-to-Face interview is mandatory

Mock Interview

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