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On-site

Job Type

Full Time

Job Description

Data Engineer

Key Responsibilities

  • Design, develop, and maintain scalable

    data pipelines

    and ETL/ELT processes.
  • Work extensively on

    GCP services

    including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Composer.
  • Optimize data models and queries for performance and cost efficiency in

    BigQuery

    .
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Ensure data quality, governance, and security across all data pipelines and storage systems.
  • Troubleshoot and resolve data pipeline issues in real time.
  • Contribute to architecture design discussions and provide best practices for data engineering.

Required Skills

  • Strong hands-on experience with

    Google Cloud Platform (GCP)

    , particularly

    BigQuery

    .
  • Proven expertise in building and maintaining

    data pipelines

    .
  • Strong

    SQL

    skills for query optimization and large-scale data manipulation.
  • Proficiency in

    Python

    or

    Java

    for developing scalable ETL/ELT solutions.
  • Good understanding of

    data modeling, partitioning, and performance tuning

    .
  • Experience with workflow orchestration tools (e.g., Airflow/Cloud Composer) is a plus.
  • Familiarity with CI/CD, version control (Git), and agile methodologies.

Good to Have

  • Exposure to

    streaming data pipelines

    (Pub/Sub, Kafka).
  • Knowledge of

    machine learning pipelines

    integration.
  • Experience with

    other cloud platforms (AWS/Azure)

    .

Soft Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and as part of a team in a fast-paced environment.

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