Why This Role Stands Out
This Snowflake Data Engineer role offers significant opportunities to deepen your expertise in cutting-edge data technologies and contribute to impactful projects within the financial sector. If you excel at designing robust data pipelines and integrating complex SQL and Java logic, this is an excellent chance to advance your career. Apply today to join a dynamic team and tackle challenging data engineering problems.
Quick Overview
Job Description
Job Title – Snowflake Data Engineer
Contract – 12+ Months
Location – NYC
Onsite - Monday to Friday
Note - This is a W-2 position, and we welcome candidates requiring H-1B transfer sponsorship to apply. No third-party vendors.
Requirement
· Snowflake Data Engineering — Hands-on experience designing and implementing data pipelines using Snowflake features including Streams, Tasks, Dynamic Tables, and Snowpipe for automated ingestion and incremental processing.
· SQL & Java Integration — Strong proficiency in complex SQL (window functions, CTEs, merge statements) and experience integrating Java-based ETL/ELT logic with Snowflake via JDBC or Snowflake connectors; familiarity with stored procedures and Snowpark is a plus.
· Data Curation & Modeling — Demonstrated experience building multi-layer lake architectures (raw → curated → consumption zones) with data quality checks, deduplication, and schema evolution handling for high-volume transactional datasets.
· Financial Domain Data — Prior exposure to financial data domains such as payment transactions, SWIFT messaging (MT/MX formats), customer inquiry records, or bank/client reference data; understanding of data sensitivity, masking, and compliance requirements.
· Datastore & Orchestration — Experience integrating Snowflake pipelines with external datastores (e.g., GCS, S3, Azure Blob, or relational DBs) and orchestration tools (e.g., Apache Airflow, dbt, or equivalent) for end-to-end pipeline scheduling
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