8 - 13 years

16 - 27 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:

Experience:

Location:

Mode of Work:

Senior Data Engineer

Key Responsibilities:

  • Design, develop, and maintain

    ETL pipelines

    using

    AWS Glue

    ,

    PySpark

    , and

    Lambda

    functions.
  • Troubleshoot and resolve

    Out of Memory (OOM)

    and performance issues in Spark jobs.
  • Develop and optimize

    real-time ETL processes

    using AWS Lambda.
  • Implement and manage infrastructure using

    Terraform

    and

    CloudFormation templates

    .
  • Work with various

    AWS services

    such as

    RDS

    ,

    Redshift

    ,

    IAM

    , and

    CloudWatch

    for data processing and monitoring.
  • Write efficient

    SQL

    queries and manage complex data transformations.
  • Collaborate with cross-functional teams to design

    data models

    , ensure data quality, and support analytical and reporting needs.
  • Apply strong understanding of

    database

    and

    data warehouse concepts

    to design robust, scalable data architectures.

Required Skills:

  • Hands-on experience with

    AWS Glue

    and

    Apache Spark

    architecture.
  • Strong proficiency in

    PySpark

    and

    Python

    programming.
  • Proven experience handling

    Spark OOM issues

    and performance tuning.
  • Expertise in

    AWS Lambda

    ,

    Terraform

    ,

    CloudFormation

    ,

    RDS

    ,

    Redshift

    ,

    IAM

    , and

    CloudWatch

    .
  • Strong

    SQL

    and

    data modeling

    skills.
  • Solid understanding of

    data warehouse

    and

    relational database

    concepts.
  • Ability to work in a

    hybrid environment

    and collaborate effectively with global teams.

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