Senior Data Engineer

7 days ago

Hyderabad, Telangana, India Yotta Tech Ports Inc Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title:
Senior Data Engineer

Location:
Hyderabad, India (fully Onsite)

Experience:
8+ Years

Employment Type:
Full-time

About the Role:

We are seeking a highly skilled and experienced
Senior Data Engineer
to join our team in Hyderabad. The ideal candidate will have a strong background in cloud data platforms, data transformation tools, and programming, with a passion for building scalable data pipelines and enabling data-driven decision-making.

Key Responsibilities:

  • Design, develop, and maintain robust data pipelines using
    DBT (Data Build Tool)
    .
  • Work with
    Redshift
    ,
    Postgres
    , and
    S3
    to manage and optimize data storage and retrieval.
  • Collaborate with analytics and engineering teams to ensure data quality and accessibility.
  • Implement workflows using

    or
    Airflow
    for orchestration.
  • Write efficient and scalable
    SQL
    and
    Python
    code for data processing and analysis.
  • Perform deep
    data analysis
    to support business insights and reporting.
  • Use
    Git
    (preferably
    GitLab
    ) for version control and CI/CD processes.
  • Work with
    Snowflake
    or
    BigQuery
    as needed for data warehousing.
  • Leverage
    AWS cloud services
    for infrastructure and data solutions (nice-to-have).
  • Monitor and visualize data pipelines using
    Grafana
    (nice-to-have).

Required Skills:

  • 8+ years of experience in data engineering or related roles.
  • Strong expertise in
    Redshift
    ,
    Postgres
    , and
    S3
    .
  • Proven experience with
    DBT
    .
  • Proficiency in
    SQL
    and
    Python
    .
  • Solid understanding of
    data analysis
    techniques.
  • Experience with
    Git
    and CI/CD workflows (GitLab preferred).
  • Familiarity with

    or
    Airflow
    .
  • Exposure to
    Snowflake
    or
    BigQuery
    .

What We Offer:

  • Competitive compensation
  • Flexible work environment
  • Opportunities to work on cutting-edge data technologies
  • Collaborative and inclusive team culture

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