Azure Data Engineer -NJ
We are seeking an experienced Senior Data Engineer with a strong background in Databricks, Apache Spark, Azure, and ETL processes . The ideal candidate will have hands-on experience with large-scale data platforms, financial datasets, and compliance-driven environments. This role requires advanced technical expertise, problem-solving skills, and the ability to work in a fast-paced, collaborative setting.
REQUIREMENTS
Key Responsibilities
- Design, develop, and optimize ETL pipelines for large-scale data processing
- Build and maintain data models to support business reporting and analytics
- Develop and manage workflows in Databricks and Apache Spark
- Implement and maintain data integration solutions using Azure Data Factory and Synapse Analytics
- Write and optimize complex SQL/HiveQL queries for large datasets
- Automate workflows and processes using Unix Shell scripting
- Ensure data quality, governance, and compliance with financial industry regulations
- Collaborate with cross-functional teams including Data Scientists, Analysts, and Business Stakeholders
Required Skills & Qualifications
- 5+ years in Data Engineering or Software Engineering
- Proven hands-on expertise with:
- Apache Spark
- Hive
- Databricks
- Strong ETL development and data modeling skills
- Proficiency in Microsoft Azure (Azure Data Factory, Synapse Analytics)
- Advanced SQL and/or HiveQL skills for large datasets
- Proficiency in Unix Shell scripting for automation
- Experience working with financial data and compliance-driven projects
Work Arrangement
- Onsite only – Must be able to work from Weehawken, NJ office 5 days per week
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