Azure Data Engineer

Carmel, IN - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

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: Bachelors degree in Computer Science Information Systems Data Engineering or a related field. Relevant certifications or coursework are a plus.
Experience: 48 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)

Required Skills:

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: Bachelors degree in Computer Science Information Systems Data Engineering or a related field. Relevant certifications or coursework are a plus. Experience: 48 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)

Key ResponsibilitiesAssist 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.Documen...

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: Bachelors degree in Computer Science Information Systems Data Engineering or a related field. Relevant certifications or coursework are a plus.
Experience: 48 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.