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Data Engineer

6 - 11 years

18 - 32 Lacs

Hyderabad

Posted:3 hours ago| Platform: Naukri logo

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Skills Required

Pyspark python data engineer ETL AWS Data Engineering Data Pipeline Data Warehousing Elt SQL

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:

Senior Data Engineer

Mandatory Skills:

  • Data Engineering
  • Python
  • PySpark
  • AWS Services (S3, Glue, Lambda, Redshift, RDS, EC2, Data Pipeline)

Key Responsibilities:

  • Design and implement robust, scalable data pipelines using

    PySpark

    ,

    AWS Glue

    , and

    AWS Data Pipeline

    .
  • Develop and maintain efficient

    ETL workflows

    to handle large-scale data processing.
  • Automate data workflows and job orchestration using

    AWS Data Pipeline

  • Ensure smooth data integration across services like

    S3

    ,

    Redshift

    , and

    RDS

    .
  • Optimize data processing for

    performance and cost efficiency

    on the cloud.
  • Work with various

    file formats

    like CSV, Parquet, and Avro.

Technical Requirements:

  • 8+ years of experience in

    Data Engineering

    , particularly in

    cloud-based environments

    .
  • Proficient in

    Python

    and

    PySpark

    for data transformation and manipulation.
  • Strong experience with

    AWS Glue

    for ETL development, Data Catalog, and Crawlers.
  • Solid knowledge of

    SQL

    for querying structured and semi-structured data.
  • Familiar with

    Data Lake architectures

    ,

    Amazon EMR

    , and

    Kinesis

    .
  • Experience with

    Docker

    ,

    Git

    , and

    CI/CD pipelines

    for deployment and versioning

Interested Candidates can also share their CV at akanksha.s@esolglobal.com

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