A professional services firm in New Jersey is seeking a Data Engineer to support data platform stability, troubleshooting, and modernization efforts in Bergen County.
About the Opportunity:
- Schedule: Monday to Friday
- Hours: Standard business
- Setting: Hybrid (at least 3 days onsite; Tues to Thurs are mandatory)
Responsibilities:
- Support and troubleshoot data pipelines, large datasets, and production data issues
- Develop and maintain solutions within Azure data engineering environments using Python and Databricks
- Work with notebooks, data transformations, and read/write operations in PySpark
- Optimize data warehouse performance through advanced T-SQL, indexing, and query tuning
- Partner with stakeholders to resolve incidents, perform root-cause analysis, and improve data reliability
Qualifications:
- 5+ years of experience in application support, technical leadership, or data-platform troubleshooting
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Hands-on experience with Azure data engineering and Python
- Working knowledge of Databricks and PySpark
- Advanced T-SQL and data warehouse experience, including stored procedures, functions, execution plans, indexing, and query optimization
- Experience troubleshooting ETL pipelines, data-quality issues, performance bottlenecks, and scalability issues
- Understanding of RDBMS concepts, reporting flows, data movement, and production support practices
- Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills
Desired Skills:
- Experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction concepts, or audit and accounting-related data
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