5 - 10 years

16 - 25 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

AWS Kafka

Role Summary:

highly skilled and proactive Data Engineer

Key Responsibilities:

  • Architect, develop, and maintain

    high-performance data pipelines

     using AWS services such as Glue, Lambda, EMR, ECS, and Step Functions.
  • Design and implement

    streaming data solutions using Apache

    Kafka

    , ensuring reliability, scalability, and fault tolerance.
  • Build and optimize

    ETL/ELT workflows

     for large-scale structured and semi-structured datasets.
  • Write clean, efficient, and reusable

    Python and PySpark code

     for data transformation and analytics.
  • Collaborate with cross-functional teams including

    Architecture, Business Analysts, and Application Support

     to deliver end-to-end data solutions.
  • Monitor and enhance

    cloud infrastructure performance

     using logs, metrics, and alerts.
  • Troubleshoot and resolve

    pipeline failures, data quality issues, and system errors

    .
  • Work closely with the Application Support team to implement

    automated monitoring and alerting solutions

    .
  • Leverage

    Snowflake

     for data warehousing and analytics, ensuring optimal query performance and cost efficiency.
  • Analyze, write, and optimize complex

    SQL queries

     for data extraction, reporting, and dashboarding.

Required Qualifications:

  • 5+ years

     of hands-on experience in data engineering and analytics.
  • Proven expertise in

    AWS cloud services

    , especially Glue, Lambda, EMR, ECS, and Step Functions.
  • Strong proficiency in

    Apache

    Kafka

     for real-time data streaming and event-driven architectures.
  • Advanced skills in

    Python

     and

    PySpark

     for big data processing.
  • Deep understanding of

    Snowflake

     architecture, performance tuning, and data modeling.
  • Expert-level knowledge of

    SQL

      including query optimization and performance analysis.
  • Experience with

    CI/CD pipelines

    , version control, and infrastructure as code.
  • Excellent problem-solving skills and ability to work independently in a fast-paced environment.
  • Strong communication skills and ability to engage with stakeholders as a

    technology consultant

    .

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