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Senior DataStage ETL

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: Goldenpick Technologies LLC
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Design, develop, and maintain robust ETL pipelines using MS Azure Data Factory, MS Azure Databricks, and other Azure services.
  • Build and manage data integration interfaces between internal systems and external platforms such as Coupa and SAP.
  • Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
  • Optimize data workflows for performance, reliability, and cost-efficiency.
  • Implement data quality checks, error handling, and logging mechanisms.
  • Participate in code reviews, architecture discussions, unit testing, and performance tuning.
  • Ensure compliance with data governance, security, and privacy standards.
  • Mentor junior developers and contribute to best practices in data engineering.
Mandatory Skills Description
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • 5 years of experience in ETL/ELT development, with at least 2 years focused on Azure Data Factory.
  • Strong proficiency in SQL, Postgres, and data transformation logic.
  • Experience with Azure Blob Storage, Azure Functions, and Databricks.
  • Hands‑on experience integrating with Coupa and SAP platforms.
  • Familiarity with CI/CD pipelines and version control tools (e.g., Git, Azure Dev Ops).
  • Experience with Unix/Linux shell scripting for automation and process orchestration.
  • Expertise in data extraction, transformation, and loading from/to various data sources (e.g., relational databases, flat files, XML, JSON, etc.).
  • Solid understanding of data warehousing concepts, dimensional modeling, and big data processing.
  • Excellent problem‑solving, communication, and documentation skills.
  • Experience with IBM Data Stage development.
  • Experience with Power BI, Snowflake, or Apache Spark.
  • Knowledge of data lake architecture, data mesh, or data fabric concepts.
  • Microsoft Azure certifications (e.g., DP-203: Data Engineering on Microsoft Azure).
  • Experience with REST/SOAP APIs and middleware platforms for enterprise integration.
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Position Requirements
10+ Years work experience
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