Data Engineer | Contract | Pune | Hybrid

4 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Data Engineer


Experience:

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Role Overview

You’ll build and maintain scalable data pipelines on AWS, working closely with engineering and analytics teams to enable reliable reporting, dashboards, and advanced analytics.


Key Responsibilities
  • Design, build, and optimize

    ETL pipelines

    and

    data workflows

    on AWS
  • Work with large

    structured & semi-structured datasets

  • Develop, maintain, and tune

    data warehouses

    and related models
  • Implement and schedule workflows using

    Airflow

    or equivalent tools
  • Collaborate with stakeholders to understand data needs and deliver robust solutions


Must-Have Skills
  • Programming:

    Python, SQL
  • Big Data:

    PySpark / Apache Spark
  • ETL Tools:

    AWS Glue / NiFi
  • Data Pipelines & Warehousing

    experience
  • AWS:

    S3, Redshift, EMR, EC2, RDS
  • Orchestration / DevOps:

    Airflow, CI/CD (GitLab / GitHub)
  • Streaming:

    Kafka or equivalent streaming platforms
  • Strong experience with

    structured & semi-structured data

    (e.g. CSV, JSON, Parquet, Avro)


Nice to Have
  • Experience in performance tuning of Spark, Redshift, and complex SQL
  • Exposure to data governance, security, and best practices on cloud

Location:

  • Type:

    Contract

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