SR. Data Engineer

Insight Global is looking for a Sr Data Engineer to join their clients Business Intelligence team building and supporting the data warehouse used globally by our Private Client Group business. The team designs and develops extract workloads in Azure Data Factory, builds dimensional and tabular models to support data and reporting solutions. You will define and establish data models and supporting the tools and methods of populating data into transactional databases, data warehouses, data marts, or other data repositories and establishing and supporting reporting toolsets and frameworks. You will provide operational support and incident/problem management including logging, instrumentation, analysis, and implementation of process improvements. You will collaborate with the business to oversee the visualization of data and report generation to meet various needs. You will coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . 10 years' experience developing data-related solutions and software, with strong Data Warehousing experience Experience of Extract/Transform/Load (ETL) and Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Azure Data Factory, Informatica, Kafka, Spark, MuleSoft, or equivalent software Experience of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases Experience of multiple programming languages, such as C#, Java, Python, SQL, Scala, or similar Experience with Git Hub or other source control (They currently use Git Hub) Must be ok with being on call 5 weeks per year