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# Senior Developer SQL SSIS ETL/Lead with Healthcare domain

- **Company:** Infinite Computer Solutions (ICS)
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Application Performance Management, Microsoft Azure, Big Data, C Sharp (Programming Language), Databases, Data Validation, Data Cleansing, Extract Transform Load (ETL), Data Mining, Data Warehousing, Apache Hive, Python (Programming Language), PostgreSQL, Microsoft SQL Server, SQL Azure, Queueing Systems, Standard Sql, SQL Stored Procedures, SQL Server Integration Services, Data Streaming, Systems Integration, Transact-SQL, Unstructured Data, Data Processing, Freeform SQL, Data Ingestion, Azure Data Factory, Delivery Pipeline, Database Optimization, Apache Spark, Git, Data Lakes, Pyspark, Google Cloud Functions, SQL Server Management Studio (SSMS), Restful APIs, Azure Synapse Analytics, Software Version Control, Data Pipelines, Serverless Computing, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/7535d1bf-cc1a-4693-b240-e523b27af221

## About the Role

* Strong experience with SSIS and SQL Server.
 * Hands-on experience with Azure Data Factory (ADF).
 * Experience developing solutions using Azure Databricks and PySpark.
 * Experience with Azure Function Apps and serverless architecture.
 * Experience designing integrations using Azure Logic Apps.
 * Strong SQL and database performance tuning skills.
 * Experience with Azure Storage, Azure SQL Database, and Synapse Analytics.
 * Knowledge of CI/CD pipelines using Azure DevOps.
 * Understanding of data warehousing and ETL/ELT concepts.
 * Experience with Git source control.

## Description

SSIS (SQL Server Integration Services)

 * Design, develop, and maintain ETL packages using SSIS.
 * Extract, transform, and load data from multiple source systems.
 * Troubleshoot and optimize ETL workflows for performance and scalability.
 * Perform data validation, error handling, and monitoring.

Azure Data Factory (ADF)

 * Design and implement data pipelines using Azure Data Factory.
 * Develop data ingestion and orchestration solutions for structured and unstructured data.
 * Configure triggers, data flows, linked services, datasets, and integration runtimes.
 * Monitor and optimize pipeline execution and performance.

Azure Databricks

 * Develop and maintain data transformation processes using PySpark and Spark SQL.
 * Build scalable data processing solutions for large datasets.
 * Implement Delta Lake architecture and optimize Spark workloads.
 * Collaborate with data scientists and analytics teams for data preparation.

Azure Function Apps

 * Develop serverless functions using C#, Python, or .NET.
 * Build event-driven integrations with Azure services.
 * Implement REST APIs and automation solutions.
 * Monitor and troubleshoot Function App performance.

Azure Logic Apps

 * Design workflow automation and system integration solutions.
 * Integrate applications using connectors, APIs, and message queues.
 * Automate business processes and notifications.
 * Implement error handling, retry policies, and monitoring.

SQL Server Management Studio (SSMS)

 * Develop, maintain, and manage SQL Server databases using SSMS.
 * Create and optimize database objects such as tables, views, stored procedures, functions, and triggers.
 * Write complex T-SQL queries for data extraction, transformation, and reporting.
 * Perform database deployments, migrations, and upgrades.

PostgreSQL Database Development

 * Design and develop database schemas, tables, views, indexes, and relationships.
 * Create and maintain stored procedures, functions, and triggers using PL/pgSQL.
 * Develop complex SQL queries for application and reporting needs.
 * Implement data validation and integrity constraints.