Data Engineer – Snowflake

4 days ago

Ahmedabad, Gujarat, India Kenexai Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Title: Data Engineer – Snowflake & DBT

Experience: 4+Years

Department: Data Engineering

Job Type: Full Time

Job Location: Ahmedabad/Pune

About Us:

Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact.

With a trusted team, consistent quality, and a growing global presence, we remain committed to delivering excellence while staying true to our core values: innovation, integrity, and client success.

Be part of a team that's not just building solutions but shaping the future with intelligence.

About the Role:

We are seeking a talented and motivated
Data Engineer
with hands-on experience in
Snowflake and DBT Core
to join our growing data team. The ideal candidate will play a critical role in designing, building, and maintaining
robust, scalable, and high-performance data pipelines
that support analytics, reporting, and business intelligence initiatives across the organization. This role involves working closely with data analysts, data scientists, and engineering teams to ensure data is
accurate, reliable, and readily available
.

Key Responsibilities:

  • Design, develop, and maintain end-to-end
    ETL/ELT pipelines
    using
    Snowflake
    and
    DBT Core
    .
  • Build modular, scalable, and reusable data models in DBT following best practices, including
    version control, testing, and documentation
    .
  • Work with
    AWS Data Services
    (S3, Glue, Redshift) to ingest, transform, and store large volumes of structured and unstructured data.
  • Collaborate with teams to
    implement data validation and testing frameworks
    to ensure high-quality, trustworthy data.
  • Orchestrate complex workflows and data pipelines using
    Airflow / Astro
    , ensuring efficient scheduling and monitoring.
  • Deploy and manage pipelines in
    containerized environments
    using
    Docker
    and
    Kubernetes
    for scalability and reliability.
  • Integrate
    streaming data
    using
    Kafka
    for real-time processing and analytics.
  • Participate in
    CI/CD pipelines
    using
    Terraform
    to automate deployment, versioning, and environment management.
  • Monitor and troubleshoot data pipelines to ensure
    performance, reliability, and availability
    , proactively addressing potential issues.
  • Collaborate with cross-functional teams to understand business requirements and translate them into efficient
    data solutions
    .
  • Stay updated with emerging technologies and industry best practices in
    data engineering, cloud platforms, and modern data architecture
    .

Required Skills & Qualifications:

  • 4+ years of experience in
    Data Engineering
    with strong expertise in
    Snowflake
    and
    DBT Core
    .
  • Proficient in
    SQL
    and
    Python
    for data transformation, scripting, and analysis.
  • Hands-on experience with
    AWS ecosystem
    including
    S3, Glue, and Redshift
    .
  • Ability to work effectively in a
    fast-paced, collaborative environment
    with multiple stakeholders.

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