Senior Snowflake/DBT Data Engineer

9 hours ago

India Adastra Full-time ₹2,00,000 - ₹2,50,000 Temporary


Category

Request Details

Title

Senior Snowflake/DBT Data Engineer

Number of Resources

1

Location

India

Seniority

Senior

Required Tech Skills

See the attached.

Optional Tech Skills

See the attached.

Start Date

ASAP

Duration

6+ months 

Budget Range

23 USD max 

Currency

USD

Overlap

CEST

Work Model

Fully remote

Dual Employment

Not allowed for this engagement

  • Master’s degree in Computer Science, Information Technology or a related field.

  • Minimum 8 years overall experience in data engineering, with at least 5–6 years of hands-on experience working with Snowflake and dbt; at least 6 years proven experience as a Snowflake Developer or in a similar role.

  • Proven experience integrating and operating Fivetran (or similar ELT tools) with dbt and Snowflake for automated data ingestion and transformations.

  • Advanced SQL expertise with experience authoring complex queries and optimising SQL for large-scale datasets.

  • Strong Python skills for data processing, automation and orchestration tasks.

  • Deep understanding of data warehousing concepts, methodologies and data modelling techniques (OLTP, OLAP, Data Vault 2.0).

  • Experience implementing and maintaining CI/CD pipelines for data transformations and deployments (Azure DevOps experience preferred).

  • Proven experience with Snowflake performance tuning, query optimisation and cost-conscious design.

  • Excellent analytical, problem-solving and communication skills; able to work effectively in a fully remote team.

  • Demonstrated ability to lead workstreams, mentor junior engineers and deliver outcomes in an agile environment.

Nice to have (optional)

  • Experience with cloud provider services (AWS, Azure or GCP) and their integration with Snowflake.

  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.

  • Experience with orchestration tools (e.g., Airflow, Prefect) for complex workflow management.

  • Knowledge of data governance, lineage and metadata tooling (e.g., Collibra, Amundsen, Great Expectations).

  • Experience working in regulated industries or with sensitive/PII datasets (compliance-aware data practices).