Data Engineer
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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 Tandym Group