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Data Engineer

Tandym Group Montvale, NJ

Montvale, NJ

Today

$60 - $72/hr Full time Python Aks Analytics

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Job Description

The Data Engineer role at Tandym Group focuses on maintaining the stability of a production data platform while supporting troubleshooting and modernization work in Bergen County. This hybrid position emphasizes Azure-based data engineering with Python and Databricks, along with PySpark transformations and T-SQL performance tuning.

Responsibilities

Support and troubleshoot data pipelines, large datasets, and production data issues
Build and maintain solutions in Azure data engineering environments using Python and Databricks
Use notebooks and implement data transformations and read/write operations in PySpark
Optimize data warehouse performance using advanced T-SQL practices, including indexing and query tuning
Collaborate with stakeholders to resolve incidents, perform root-cause analysis, and improve data reliability

Required 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 challenges
Understanding of RDBMS concepts, reporting flows, data movement, and production support practices
Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills

Technologies

Azure, Python, Databricks, PySpark
T-SQL, Notebooks
ETL pipelines, Azure Data Factory, ADLS, Delta, Parquet
AKS, SSIS, MSBI
Power BI, Alteryx
ERP extraction, audit and accounting-related data

Location, Schedule, and Work Setting

Location: Montvale, NJ (hybrid)
Schedule: Monday to Friday
Hours: Standard business hours
Onsite requirement: Hybrid arrangement with at least 3 days onsite; Tues to Thurs are mandatory

Education

Bachelor’s degree in Computer Science, Information Systems, or a related field.

Compensation

USD 60 - 72 per hour.

Desired Skills

Experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI
Experience with Power BI, Alteryx
ERP extraction concepts
Exposure to audit and accounting-related data

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