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Big Data Engineer

6 - 11 years

15 - 25 Lacs

velhe

Posted:6 hours ago| Platform: Naukri logo

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Skills Required

scala hadoop big data engineer spark aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

  • Design, build, and maintain scalable

    ETL/ELT

    pipelines using

    AWS Glue, Lambda, Step Functions, and Apache Spark

    .
  • Develop and optimize

    data lake

    and

    data warehouse

    architectures using

    AWS S3, Redshift, and Athena

    .
  • Implement

    data ingestion, transformation, and storage solutions

    using

    AWS Glue, Kinesis, and Kafka

    .
  • Work with structured and unstructured data to develop efficient

    data pipelines

    .
  • Optimize query performance in

    SQL-based

    and

    NoSQL

    databases (Redshift, DynamoDB, Aurora, PostgreSQL, etc.).
  • Ensure data security, compliance, and governance using

    IAM roles, KMS encryption, and AWS Lake Formation

    .
  • Automate data workflows using

    Terraform, CloudFormation, or CDK

    .
  • Monitor and troubleshoot data pipelines, ensuring high availability and performance.
  • Collaborate with

    Data Scientists, Analysts, and Engineers

    to provide robust data solutions.

Required Skills:

  • Strong experience with

    AWS Data Services

    (Glue, Redshift, S3, Lambda, Kinesis, Athena).
  • Proficiency in

    Python, SQL, and Scala

  • Experience with

    ETL/ELT pipeline design

    and

    data warehousing

    concepts.
  • Strong knowledge of

    relational and NoSQL databases

    (PostgreSQL, MySQL, DynamoDB).
  • Familiarity with

    DevOps practices

    and

    CI/CD tools

    (Jenkins, GitHub Actions).
  • Experience with

    Kafka or Kinesis

    for real-time data streaming.
  • Knowledge of

    Terraform, CloudFormation, or CDK

    for infrastructure automation.
  • Hands-on experience with

    data security and governance

    .
  • Strong analytical and problem-solving skills

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