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Data Engineer
Data EngineerSan R&D Business Solutions LLC • Phoenix, AZ, us
Data Engineer

Data Engineer

San R&D Business Solutions LLC • Phoenix, AZ, us
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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
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