Data Engineer || 6 Months Extendable Contract || Carnation Infotech

6 - 10 years

10 - 17 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Summary:

Data Engineer

Key Responsibilities:

  • Design, build, and maintain scalable and reliable

    data pipelines

    using

    DBT

    and

    Airflow

    .
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Optimize data transformation workflows to improve efficiency, quality, and maintainability.
  • Implement and maintain data quality checks and validation logic.
  • Monitor pipeline performance, troubleshoot failures, and ensure timely data delivery.
  • Develop and maintain documentation for data processes, models, and flows.
  • Work with cloud data warehouses (e.g.,

    Snowflake

    ,

    BigQuery

    ,

    Redshift

    , etc.) for storage and transformation.
  • Support ETL/ELT jobs and integrate data from multiple sources (APIs, databases, flat files).
  • Ensure best practices in version control, CI/CD, and automation of data workflows.

Required Skills and Experience:

  • 6+ years

    of hands-on experience in

    data engineering

    .
  • Strong proficiency with

    DBT

    for data modeling and transformation.
  • Experience with

    Apache Airflow

    for orchestration and workflow scheduling.
  • Solid understanding of

    SQL

    and relational data modeling principles.
  • Experience working with modern cloud data platforms (e.g.,

    Snowflake

    ,

    BigQuery

    ,

    Databricks

    , or

    Redshift

    ).
  • Proficiency in

    Python

    or similar scripting language for data manipulation and automation.
  • Familiarity with version control systems like

    Git

    and collaborative development workflows.
  • Experience with CI/CD tools and automated testing frameworks for data pipelines.
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication and documentation skills.

Nice to Have:

  • Experience with streaming data platforms (e.g., Kafka, Spark Streaming).
  • Knowledge of data governance, security, and compliance best practices.
  • Experience with dashboarding tools (e.g., Looker, Tableau, Power BI) for data validation.
  • Exposure to agile development methodologies.

Contract Terms:

  • Commitment:

    Full-time, 8 hours/day
  • Duration:

    6 months, with possible extension
  • Location:

    Remote

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