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

Data Engineer

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

[job_card.variable_days_ago]

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[job_card.full_time]

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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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