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About
Job Description
Job Title: Data Engineer
Location: Phoenix, AZ
Work Type: Hybrid (3 days onsite per week) Employment Type: W2 only
Candidate Criteria:
* Only Female Candidates
* Experience: 6+ years
* Visa Status: USC / GC only
About the Role:
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.
Key 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
Required Skills:
* 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
Preferred / Plus Skills:
* Experience with Apache Spark
* Exposure to cloud-based data platforms
* Willingness to upskill on emerging tools and technologies
Languages
- English
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