| Azure Data Engineers at Remote, Remote, USA |
| Email: [email protected] |
| From: Ben, Heliogic Tech [email protected] Reply to: [email protected] Job Title: Azure Data Engineers / SQL Developers Location: Long Island City, NY- Hybrid position with onsite work required for the first few months. Program Description: The agency is embarking on a data modernization initiative to accelerate its data strategy. During the COVID-19 pandemic, data was the life blood of the agencys response to making informed data-driven decisions and policies that directly impacts the lives of New Yorkers. These included operational data in our vaccination campaign at the Vaccine Hubs, distribution strategy throughout the citys vaccine infrastructure, as well as health equity data breaking down lab tests, positive cases, hospitalizations, deaths, and vaccination rates by age, place, and race. With grant funding support from the Centers for Disease Control (CDC), DOHMH is embarking on a data modernization initiative to move fromsiloed and brittle public health data systems to connected, resilient, adaptable, and sustainablesystems. This initiative is not just about technology, but also about putting the right people, processes, and policies in place. NYC DOHMHs modernization strategy focuses on key areas in data collection, storage, processing (including transformation, standardization, matching, deduplication), data integration and exchange, data analysis and data reporting and visualization. The DMI initiative will allow DOHMH to build up foundational technology capabilities within the Division of Information Technology. This includes increasing capacity, knowledge, and experience with Azure cloud technologies within the broader NYC cloud and cybersecurity infrastructure and all within the context of public health. Summary of Position: The agency is seeking a Azure Data Engineers / SQL Developers to help in the infrastructure, process, and procedures to create data lakes in the cloud for large amounts of public health data including but not limited to syndromic surveillance, electronic laboratory and case reporting, notifiable diseases, vital records, mental health, maternal mortality, chronic diseases, as well as agency operational data such as finance, human resources, emergency operations, and information technology data. This data will be made available to analysts across DOHMH to consume and process in analytic platforms such as R, Python, SAS and visualize them in tools like Tableau, Power BI, Data Wrapper. In addition, the data can be processed with machine learning algorithms to help make more informed policy and operational decisions. Job Duties: Engineer data pipelines using a variety of technologies including Azure Synapse, SQL, SSIS, Python to extract, transform and load data. Load and transform data from external sources and partners in a variety of different structured and unstructured file formats as well as internal on-premises data and applications primarily in SQL databases and CSV file formats. Process public health data requests following applicable procedures and document changes in an electronic repository. Apply technical knowledge to architect solutions that meet business needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g., Azure ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.). Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability, and reliability upon deployment Develop deep relationships with key customer IT decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates. Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners. For senior data engineers, supervisor or mentor junior data engineer and analysts. Qualifications and Requirements: 5+ years of experience with Azure data platform including Azure SQL, Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse (Synapse Analytics), Azure Data Lake Storage, Azure Cosmos DB, SQL Server, SSIS, SSRS, etc. Strong Object relational mapping experience with UML modeling and OO modeling. Experience with T-SQL, SSIS, Power BI and Azure Analysis Services Experience with developing data pipelines using python. Strong problem solving and analytical skills. Passion for public health and solving problems and creating new insights through data. Experience working with Healthcare data and proven track of implementation experience in EDI data formats. Experience in job roles involving metadata management, relational dimensional modeling and big data solution approaches with native Azure Data Platform tools or 1st party services. Excellent communication, presentation skills with the right attitude towards problem solving in diverse teams. Strong aptitude and technical skills with conceptual strength in logical solutions driven towards balanced optimal considerations. Solid knowledge in SQL, security standards, BI tools, ETL tools and Microsoft Azure specific technologies. Certifications in Azure, data modeling and metadata management. Ability to use BI tools like Power BI to represent insights and other presentation techniques. Keywords: artificial intelligence machine learning business intelligence database rlang information technology New York |
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| Thu Jul 27 01:09:00 UTC 2023 |