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Data Engineer
Data EngineerThe People Placers • Montvale, NJ, US
Data Engineer

Data Engineer

The People Placers • Montvale, NJ, US
[job_card.1_day_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Summary

We are seeking a highly skilled Data Engineer to build and manage our data infrastructure. The ideal candidate will be an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL / ELT pipelines. You will ensure data is accurate, accessible, and optimized for performance to support business intelligence, analytics, and reporting needs.

Key Responsibilities

  • Database Design & Management : Design, develop, and maintain relational databases (e.g. SQL Server, ProgressSQL, Oracle) and cloud-based data warehouses.
  • Strategic SQL and Data Engineering

Develop sophisticated, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets for actionable business insights.

  • Data Pipeline Automation & Orchestration : Help build, automate, and orchestrate ETL / ELT workflows utilizing SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.
  • Performance Optimization : Tune queries and optimize database schema (indexing, partitioning, normalization) to improve data retrieval and processing speeds.
  • Data Integrity & Security : Ensure data quality, consistency, and integrity across systems. Implement data masking, encryption, and role-based access control (RBAC).
  • Documentation : Maintain technical documentation for database schemas, data dictionaries, and ETL workflows.

    • Required Skills and Qualifications

  • Education : Bachelor's degree in computer science, Information Systems, or a related field.
  • SQL Mastery : 5+ years of experience with advanced SQL (window functions, CTEs, query optimization).
  • Database Expertise : Deep understanding of relational database management systems (RDBMS) and data modeling techniques.
  • Cloud Platforms : Demonstrated experience with Azure Data Services and other data warehouse technologies.
  • Programming : Proficiency in Python for scripting and data manipulation.
  • ETL Tools : Familiarity with tools like SSIS or Azure Data Factory.
  • Soft Skills : Strong analytical thinking, problem-solving, and communication skills.

    • Nice to Have

  • Experience with NoSQL databases (Cosmos DB, MongoDB).
  • Experience with big data frameworks (Apache Spark, Kafka).
  • Relevant certifications (e.g., Microsoft Certified : Azure Data Engineer Associate, Google Professional Data Engineer).

    • Typical Work Environment

  • Tools Used : SQL IDEs (DBeaver, SSMS), Cloud Consoles, Git, Jira, SSIS.
  • Industry : Leasing.

    • Salary is $130-$140k

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