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Snowflake Data Engineer

Teamware Solutions

 

Boston, MA, USA

Posted On: 14 days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: Snowflake Data Engineer
Tenure: No Preference/Any
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Description

ROLE DESCRIPTION:

 

Experience Required: 10+ yrs

We are seeking a hands-on Snowflake Data Engineer to design, build, optimize, and productionize data pipelines and data products on Snowflake for enterprise analytics use cases.

The role requires deep expertise in SQL, ELT/ETL orchestration, data modeling (3NF/Star/Snowflake), performance tuning, cost optimization, and secure data sharing in Snowflake.

You’ll collaborate with Product Owners, Data Architects, Analytics Engineers, and Platform teams to deliver reliable, scalable, and well-governed data solutions for TJX.

Required Skills & Experience:

Must have: Snowflake (Hands-on Expert):

Warehouses, Databases, Schemas, Roles & Grants (RBAC)

Stages (internal/external), File Formats, COPY INTO, Snowpipe, Streams & Tasks
Time Travel, Cloning, Zero-Copy Clones, Fail-safe awareness

Query tuning (clustering keys, micro-partitions, caching, pruning)

Secure data sharing, masking policies, tags, governance features BCR, DR, Storage integration and Parameters

Materialized / Semantic Views, Dynamic Tables, Stream Lit, Snowflake Architecture

SQL Mastery: Strong, production-grade SQL for large-scale transformations.

Good to have:

Programming: Python (preferred) for ELT utilities, framework integration, data quality checks; dbt for transformation-as-code is a strong plus.

Orchestration: Airflow (preferred) or ADF/Glue/Composer; scheduling, dependencies, retry policies, SLAs.

Data Modeling: Dimensional modeling (Kimball), SCD Type 1/2; normalization/denormalization trade-offs; exposure to data vault is a plus.

Cloud Platforms: Experience with at least one major cloud (AWS/Azure/GCP) for storage (S3/ADLS/GCS), IAM, networking basics, and secrets management.

Version Control & CI/CD: Git workflows, branching, code reviews, packaging, environment promotion.

Data Quality: Testing frameworks (dbt tests, Great Expectations) and monitoring/observability.

Soft Skills: Clear communicator, documentation-first mindset, proactive problem solver, vendor-collaboration friendly.

 


 

Education

Any Graduate

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