5 - 10 years

18 - 30 Lacs

Posted:1 month ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Preferred candidate profile

Mainly looking for

1) AWS - GLUE - EMR - SPARK

2) Clear concepts of DE

Job Summary:

Data Engineer

Key Responsibilities:

  • Design, develop, and maintain robust ETL/ELT pipelines using AWS Glue and Spark
  • Work with large-scale distributed data processing systems on AWS EMR
  • Optimize data workflows for performance, scalability, and reliability
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
  • Ensure data quality, integrity, and governance across all pipelines
  • Implement best practices in data modeling, storage, and transformation
  • Monitor and troubleshoot data pipeline issues in production environments
  • Maintain documentation for data architecture, processes, and workflows

Required Skills & Qualifications:

  • 510 years of experience in data engineering or related roles
  • Strong hands-on experience with

    AWS Glue

    ,

    EMR

    , and

    Apache Spark

  • Proficiency in

    Python

    or

    Scala

    for data processing
  • Solid understanding of

    data engineering concepts

    including data warehousing, partitioning, schema design, and performance tuning
  • Experience with

    cloud-based data lakes

    ,

    S3

    , and

    Redshift

    is a plus
  • Familiarity with CI/CD pipelines and version control (e.g., Git)
  • Excellent problem-solving and communication skills
  • Bachelors or Masters degree in Computer Science, Engineering, or related field

Good to have:

  • AWS Certification (e.g., AWS Certified Data Analytics Specialty)
  • Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions
  • Exposure to real-time data processing frameworks (e.g., Kafka, Kinesis

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Wissen Technology

IT Services and IT Consulting

Bangalore Karnataka

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