ETL Developer / Data Integration
Sumeru Solutions
ETL Developer / Data Integration
Experience: 4-6 Years (or as per organizational standards)
Location: Remote
Job Summary:
We are seeking a skilled ETL Developer / Data Integration Engineer to design, develop, and maintain scalable data integration solutions that support healthcare business operations. The ideal candidate will have expertise in ETL development, SQL, data warehousing, cloud technologies, and modern data engineering practices, with the ability to deliver high-quality and efficient data solutions.
Key Responsibilities
Design, develop, test, and maintain ETL and data integration workflows. Extract, transform, and load data from multiple source systems into data warehouses and data lakes.
Develop and optimize SQL queries, stored procedures, and database objects. Build scalable, reliable, and high-performance data pipelines.
Perform data mapping, profiling, validation, reconciliation, and data quality checks.
Monitor ETL processes and troubleshoot data integration issues.
Collaborate with business analysts, architects, and engineering teams to translate business requirements into technical solutions.
Ensure data quality, integrity, security, and compliance with organizational standards.
Support production deployments and provide ongoing maintenance and enhancements.
Participate in code reviews, performance tuning, and continuous process improvement initiatives.
Required Skills:
Strong experience in ETL/Data Integration development. Proficiency in SQL, PL/SQL, and relational database development. Experience with ETL tools such as Informatica, SSIS, Talend, DataStage, Matillion, or similar platforms. Strong understanding of Data Warehousing concepts and dimensional data modeling. Experience with Python scripting for data processing and automation. Knowledge of cloud platforms such as Azure, AWS, or GCP. Experience working with large datasets, performance optimization, and troubleshooting. Familiarity with version control systems such as Git or Bitbucket. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Experience in the Healthcare domain and healthcare data environments. Exposure to modern data platforms such as Azure Data Factory, Databricks, Snowflake, or similar technologies. Understanding of Agile/Scrum development methodologies. Experience utilizing AI-assisted development tools such as GitHub Copilot or Microsoft Copilot. Knowledge of data governance, data quality frameworks, and compliance standards. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Key Competencies Data Integration & ETL Development SQL & Database Management Data Warehousing & Data Modeling Cloud Data Technologies Data Quality & Governance Performance Optimization Troubleshooting & Root Cause Analysis Stakeholder Collaboration Agile Delivery Practices Continuous Learning & Innovation
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