Data Engineer

San R&D Business Solutions LLCPhoenix, AZ
12dHybrid

About The Position

We are seeking an experienced Data Engineer to join an Agile, SDLC-based team supporting large-scale data initiatives at our firm. The ideal candidate will be a hands-on individual contributor with strong data engineering, analytics, and ETL development experience.

Requirements

  • Strong Data Analytics background
  • Proficiency in MySQL
  • Strong hands-on experience with Python and PySpark
  • Expertise in ETL, Big Data, and Data Warehousing concepts
  • Expert-level knowledge in at least one object-oriented programming language in C, C++ Or Java
  • Experience with SDLC life cycle
  • Advanced knowledge of SQL (SQL Server, DB2, Oracle)
  • Experience with: Stored procedures, triggers, DML packages, materialized views
  • Data modeling (schemas, entity relationships)
  • BI tools: Tableau, Power BI, or Qlik
  • System integrations using REST, SOAP, ETL, SSIS
  • Node.js and JSON
  • Familiarity with Apache Airflow and DAG development

Nice To Haves

  • Experience with Apache Spark
  • Exposure to cloud-based data platforms
  • Willingness to upskill on emerging tools and technologies

Responsibilities

  • Work as an individual contributor in an Agile SDLC environment
  • Design, develop, and maintain scalable ETL pipelines using Python and PySpark
  • Analyze, transform, and manage large datasets across data warehouses and data lakes
  • Develop complex SQL queries across multiple RDBMS platforms
  • Integrate data across systems using REST, SOAP, ETL, and SSIS
  • Build and support reports and dashboards using BI tools
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Write efficient, reusable, and maintainable code for data processing pipelines
  • Learn and adapt to new cloud-based tools and platforms as required
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