Data Engineer (SQL, ETL and Azure)

Montvale, NJ, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
Occasional Travel Required
On-site
$130,000 - 135000/yr
Fitment

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Job Details

Skills

  • SQL Server
  • ETL
  • Cloud
  • Azure Data Factory
  • Data Pipelines
  • SSIS
  • RDMS
  • Python
  • Analytics
  • Business Intelligence
  • Cloud Computing
  • NoSQL
  • Relational Databases

Summary

< class=MsoNormal>At this time, the client cannot offer visa sponsorship and does not anticipate offering it in the FUTURE. We are seeking candidates who do not require sponsorship.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113460
  • Position Id: SCData
  • Posted 4 hours ago
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