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.
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 EngineeringProven hands-on expertise with :Apache SparkHiveDatabricksStrong ETL development and data modeling skillsProficiency in Microsoft Azure (Azure Data Factory, Synapse Analytics)Advanced SQL and / or HiveQL skills for large datasetsProficiency in Unix Shell scripting for automationExperience working with financial data and compliance-driven projectsWork Arrangement
Onsite only – Must be able to work from Weehawken, NJ office 5 days per week