Data Engineer

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.

• Database Design & Management:
  Design, develop, and maintain relational databases (e.g. SQL Server, Progress SQL, 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.

• 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.

• Experience with No
  
  SQL databases (Cosmos DB, Mongo
  
  DB).
• Experience with big data frameworks (Apache Spark, Kafka).
• Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Google Professional Data Engineer).

• Industry: Leasing.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, national origin, or veteran status