Data Engineer SQL/ETL
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-03-06
Listing for:
TechDigital Group
Full Time
position Listed on 2026-03-06
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
Job Overview
We are seeking a skilled Data Engineer with strong expertise in SQL, ETL development, and hands-on experience with Rhine (or similar metadata-driven orchestration frameworks). The ideal candidate will play a key role in building scalable data pipelines, managing data transformation workflows, and supporting analytics initiatives across the enterprise.
Mandatory Skills- SQL Server 2022 , Oracle SQL ++ and Java Script
- Must be strong in Microsoft SQL Server ( Functions , Common table expressions, Views)
- and should be familiar with Data ware house & Operational Data Store Concepts [ODS]
- Windows Powershell and .NET must
- and REST API must
- Familiarity with Change control Processes
- and Change management
- Proven experience in ETL development using tools like SSIS, Informatica, Talend, Data Stage, or custom Python/Scala frameworks.
- Python, Scala (optional)
- and Change management
- SHould be able to run explain Plans and have good understanding of data profiling and indexing or query tuning based on SQL
- Design, develop, and maintain ETL pipelines using best practices and enterprise data architecture standards.
- Write advanced SQL queries for data extraction, transformation, and analysis from structured and semi-structured data sources.
- Work with Rhine-based pipelines to enable dynamic, metadata-driven data workflows.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and implement robust solutions.
- Ensure data quality, consistency, and integrity across systems.
- Participate in performance tuning, optimization, and documentation of data processes.
- Troubleshoot and resolve issues in data pipelines and workflows.
- Support deployment and monitoring of data jobs in production environments.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Strong hands-on experience with SQL (complex joins, window functions, CTEs, performance tuning).
- Proven experience in ETL development using tools like Informatica, Talend, Data Stage, or custom Python/Scala frameworks.
- Familiarity with or experience in using Rhine for metadata-driven pipeline orchestration.
- Working knowledge of data warehousing concepts and dimensional modeling.
- Exposure to cloud platforms (AWS, Azure, or GCP) and tools such as Snowflake, Redshift, or Big Query is a plus.
- Experience with version control (e.g., Git) and CI/CD for data jobs
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