Data Engineer

6 - 11 years

0 Lacs

pune mumbai (all areas)

Posted:1 month ago| Platform: Naukri logo

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Skills Required

apache airflow tableau / power bi python etl tools such as alteryx cloud platform like aws / azure / gcp tableau prep sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities:

Role and Responsibilities:

  • Design, build, and maintain scalable and efficient data pipelines

    for ingesting and transforming data from multiple sources.

  • Develop and manage

    cloud-based data lakes optimized for analytics and business intelligence usage

    .
  • Work closely with data science and BI teams to understand data requirements and ensure seamless integration of datasets.
  • Implement and maintain

    data quality checks, data profiling, and monitoring mechanisms

    .
  • Establish and

    enforce

    data governance policies

    including data lineage, cataloging, and access control.
  • Optimize data processing workloads

    for performance and cost-efficiency in cloud environments.
  • Collaborate across teams to understand evolving data needs and improve data infrastructure accordingly.

Technical and Functional Skills:

  • BE or B.Tech graduate with 5+ years of experience in Data Engineering.
  • Proficient in SQL and Python for data manipulation and ETL development.
  • Experience with

    ETL tools such as Alteryx, Tableau Prep, Apache Airflow

    , or similar.
  • Strong hands-on experience with cloud platforms like

    Azure (especially services like S3, BigQuery, Redshift, Glue, Dataflow, or equivalent), AWS, GCP.

  • Experience with

    data lake architecture

    and file formats like Parquet, Avro, or Delta Lake.
  • Working knowledge of data quality and observability tools

    like Great Expectations or Monte Carlo

    (Good to have).
  • Familiarity with metadata management, data cataloging, and governance frameworks.
  • Ability to design data models, understand business needs, and translate them into efficient data workflows.
  • Experience with Tableau, Power BI, Looker for downstream BI integration and data integrity testing.

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