Freelance Senior Data Engineer

24 hours ago

Bengaluru, Karnataka, India Call For Referral Full time

Senior Data Engineer / Analytics Engineer (India-Based)

Hourly Contract | Remote | $35–$70 per hour

Mercor is partnering with a cutting-edge AI research lab to hire a
Senior Data / Analytics Engineer
with expertise across
DBT
and
Snowflake Cortex CLI
. In this role, you will build and scale Snowflake-native data and ML pipelines, leveraging Cortex's emerging AI/ML capabilities while maintaining production-grade DBT transformations. You will work closely with data engineering, analytics, and ML teams to prototype, operationalise, and optimise AI-driven workflows—defining best practices for Snowflake-native feature engineering and model lifecycle management. This is a high-impact role within a modern, fully cloud-native data stack.

Responsibilities

  • Design, build, and maintain
    DBT models, macros, and tests
    following modular data modeling and semantic best practices
  • Integrate DBT workflows with
    Snowflake Cortex CLI
    , enabling:
  • Feature engineering pipelines
  • Model training & inference tasks
  • Automated pipeline orchestration
  • Monitoring and evaluation of Cortex-driven ML models
  • Establish best practices for
    DBT–Cortex architecture
    and usage patterns
  • Collaborate with data scientists and ML engineers on Cortex workloads
  • Build and optimise
    CI/CD pipelines
    for DBT (GitHub Actions, GitLab, Azure DevOps)
  • Tune Snowflake compute and queries for
    performance and cost efficiency
  • Troubleshoot DBT artifacts, Snowflake objects, lineage, and data quality issues
  • Provide guidance on DBT project governance, structure, documentation, and testing

Required Qualifications

  • 3+ years of experience with
    DBT Core or DBT Cloud
    (macros, packages, testing, deployments)
  • Strong expertise with
    Snowflake
    (warehouses, tasks, streams, materialized views, performance tuning)
  • Hands-on experience with
    Snowflake Cortex CLI
    or ability to ramp up quickly
  • Strong
    SQL
    skills; working familiarity with
    Python
    for scripting and automation
  • Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.)
  • Solid understanding of modern
    ELT patterns
    and version-controlled analytics development

Nice-to-Have Skills

  • Experience operationalising
    ML workflows inside Snowflake
  • Familiarity with
    Snowpark
    , Python UDFs/UDTFs
  • Experience building
    semantic layers
    using DBT metrics
  • Knowledge of
    MLOps / DataOps
    best practices
  • Exposure to
    LLM workflows
    , vector search, or unstructured data pipelines

PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

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