Data Engineer

Data Engineer at The People Placers Data Engineer at The People Placers in Park Ridge, New Jersey Posted in about 6 hours ago.

Type:

full-time

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

NOTE:

NOT accepting C2C (Corp-to-Corp) or C2H (Contract-to-Hire)