Azure Data Engineer at RADcube, LLC

Carmel, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, T-SQL, ETL, Data Pipelines, Data Ingestion, Data Transformation, Data Quality, Data Warehouse Modernization, Azure, AWS, Stored Procedures, UAT, Data Governance, Client-Facing Communication, Analytical Thinking, Problem Solving

Industry

IT System Custom Software Development

Description

Key Responsibilities Assist in the development, testing, and maintenance of ETL processes and data pipelines. Support data ingestion and transformation from multiple source systems into target databases. Perform data quality checks, validation, and reconciliation to ensure accuracy and completeness. Document transformation logic, data mappings, and source-to-target specifications. Collaborate with BI teams to support upstream data fixes and resolve data discrepancies. Assist in User Acceptance Testing (UAT) and support defect identification and remediation. Contribute to the continuous improvement of ETL workflows and data governance practices. Participate in data warehouse modernization initiatives using cloud platforms such as AWS and Azure, including migration and optimization of legacy workflows. Engage in client-facing communication to gather requirements, provide updates, and deliver technical solutions aligned with business needs. SQL & T-SQL Development Responsibilities Interpret business and technical requirements to write and optimize SQL and T-SQL transformations. Develop and maintain strong stored procedures to support efficient data processing and business logic. Support the documentation of SQL logic in Technical Requirements Documents (TRDs) and mapping specifications. Validate SQL outputs against source data to ensure alignment with business rules. Troubleshoot and resolve data discrepancies at the SQL and T-SQL level under the guidance of senior developers. Assist with UAT defect fixes by adjusting SQL logic and retesting outputs. Requirements SQL Skill Level Required Hands-on experience with SQL and T-SQL development in a professional setting. Ability to write and understand SELECT, INSERT, and UPDATE statements. Proficient in joins, aggregations, subqueries, filtering logic, and stored procedure development. Strong troubleshooting skills to identify and resolve data issues at the query level. Experience working with cloud-based data platforms (AWS, Azure) is a plus. Qualifications & Requirements Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field. Relevant certifications or coursework are a plus. Experience: 4–8 years in Data Engineering, ETL, or analytics support roles; hands-on SQL and T-SQL development experience is required. Preferred Experience: Prior experience in healthcare, insurance, or claims data environments is strongly preferred. Technical Skills: Understanding of data engineering concepts and data pipeline architecture; exposure to ETL tools such as SSIS, Azure Data Factory (ADF), or similar platforms. Familiarity with cloud-based data warehouse modernization (AWS, Azure) is highly desirable. Exposure to reporting tools such as Power BI, Tableau, or Cognos is a plus. Core Competencies: Strong analytical thinking, problem-solving ability, attention to detail, and excellent written/verbal communication. Must be a great team player with proven ability to collaborate effectively across teams and engage in client-facing communication to understand requirements and present solutions. Core Competencies Data Integrity & Quality Assurance Data Engineering, SQL, and T-SQL Development Stored Procedure Development Cloud Data Warehouse Modernization (AWS, Azure) Analytical Problem Solving Great Team Player with Strong Collaboration Skills Effective Communication & Client-Facing Engagement Adaptability in a Fast-Paced Environment Ability to Work Independently with Limited Instruction Exposure to Reporting Tools (Power BI, Tableau, Cognos)

Responsibilities

Key responsibilities involve developing, testing, and maintaining ETL processes and data pipelines, supporting data ingestion and transformation, and performing data quality checks. The role also requires documenting logic, collaborating with BI teams, assisting with UAT, and contributing to data warehouse modernization initiatives using cloud platforms.