Title: Technical Specialist-Data Engg
Long Description
Job Title: Data Engineer with Python / SQL and DBT (ETL /ELT Developer)
Location: New York City, NY / Jersey City, NJ (Onsite)
Domain: Banking / Capital Market
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Mandatory Skills:
Python
Airflow (Workflow Automation)
SQL / PLSQL
Snowflake (Cloud Data Warehouse)
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Experience & Technical Requirements:
• 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferrable`
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Ability to design scalable data pipelines using modern cloud data stack technologies.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Collaborate with cross-functional teams to define observability requirements related to SLA, operational needs, data quality, and proactive monitoring.
• Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineering.
• Good communication, problem solving and troubleshooting skills.
Ideal Candidate:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL , Python and DBT.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Background in banking/capital markets or financial data is a plus.
• Passionate about data observability, monitoring, and scalable data architecture