3 - 7 years

4 - 7 Lacs

Posted:9 hours ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, develop, and maintain robust

    ETL/ELT pipelines

    to collect, clean, transform, and load data from diverse sources.
  • Build and optimize

    data warehouses

    and

    data lakes

    using modern cloud platforms (e.g., GCP, AWS, Azure).
  • Work with structured and unstructured data from various systems (databases, APIs, flat files, etc.).
  • Collaborate with data scientists and analysts to prepare data for analytical models and dashboards.
  • Monitor and improve pipeline performance, scalability, and reliability.
  • Ensure data quality, data governance, and compliance across the data ecosystem.
  • Automate data workflows, implement data versioning, and handle orchestration using tools like

    Apache Airflow

    ,

    Cloud Composer

    , or equivalent.
  • Document data sources, models, and pipelines for maintainability and transparency.

Mandatory Skills:

  • Proficiency in

    SQL

    and performance tuning for large-scale datasets.
  • Strong programming skills in

    Python

    or

    Scala

    for data processing.
  • Solid understanding of

    ETL/ELT processes

    and

    data modeling

    concepts.
  • Experience with cloud data platforms such as:
  • GCP (BigQuery, Cloud Storage, Dataflow)

  • or

    AWS (Redshift, S3, Glue)

  • or

    Azure (Data Factory, Synapse)

  • Familiarity with tools like

    Apache Spark

    ,

    Kafka

    ,

    Informatica

    , or

    dbt

    .

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