Data Engineer

** - Lead the design, implementation, testing, and maintenance of complex system integration processes using Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage - Coordinate the work of other systems integration technical resources, both onshore and offshore - Become an expert on Microsoft data integration and reporting products - Participate in requirement analysis and definition - Create technical specifications and system integration test plans - Document data flows using data dictionaries and other data governance tools - Collaborate with different technical teams on best practices - Work as part of an Agile development team to solve problems and develop projects in a fast-paced environment - Follow pre-established guidelines and create new guidelines as needed - Demonstrate creativity and problem-solving skills - Support applications using structured programming, documentation, design, and code review - Collaborate with database resources and IT Operations to ensure alignment with business requirements - Mentor junior developers and stay updated with the latest Azure data services and best practices **

** - Bachelors / masters degree in computer science, engineering, or related field, or equivalent education and work-related experience - 10+ years of IT experience with a focus on ETL, Reporting, and systems integration - Strong expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, and Azure Databricks - Proficiency in Python, SQL, Spark, and Scala - Experience with data modeling, ETL processes, data warehousing, and data lakes - Expert knowledge of ETL concepts and techniques - Proficient in SQL, stored procedures, triggers, and indexes - Experience with SOAP and Restful Web Services integration - Experience in end-to-end Software Development Life Cycle (SDLC) projects - Strong communication skills and ability to convey technical concepts to non-technical stakeholders - Self-starter with the ability to work independently and as part of a team - Strong problem-solving skills and proactive issue resolution - Proficient in Microsoft Office tools - Preferred: Experience in the insurance industry, Azure DevOps, CI/CD Pipelines, GIT source control, Power BI, Agile/Scrum methodologies, Denodo or other Data Virtualization Tools, and exposure to Data science, AI/ML. As a highly skilled and experienced Senior Data Engineer with a strong background in Microsoft Azure data platforms, you will be responsible for designing, implementing, and managing large-scale data solutions using Azure technologies. Your deep understanding of data engineering best practices and cloud architecture will be essential for collaborating with cross-functional teams. Your primary focus will be on designing, implementing, and maintaining data integration projects utilizing Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage. Your role will involve working with business and technical staff to understand integration requirements, develop agile user stories, and lead data integration projects. **

** - Lead the design, implementation, testing, and maintenance of complex system integration processes using Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage - Coordinate the work of other systems integration technical resources, both onshore and offshore - Become an expert on Microsoft data integration and reporting products - Participate in requirement analysis and definition - Create technical specifications and system integration test plans - Document data flows using data dictionaries and other data governance tools - Collaborate with different technical teams on best practices - Work as part of an Agile development team to solve problems and develop projects in a fast-paced environment - Follow pre-established guidelines and create new guidelines as needed - Demonstrate creativity and problem-solving skills - Support applications using structured programming, documentation, design, and code review - Collaborate with database resources and IT Operations to ensure alignment with business requireme