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]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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 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 Experience with Apache Spark Exposure to cloud-based data platforms Willingness to upskill on emerging tools and technologies
Job Description
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 :
Required Skills :
Preferred / Plus Skills :
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