As a Data Engineer - DataOps, you are responsible for creating and maintaining software development lifecycle activities pertaining to the business applications. You will design, code, test, debug, and document existing and new enhancements. **Responsibilities:** + Partner with data engineering, and business teams to set KPIs, SLAs, and SLIs for the quality and availability of data. + Validate the data pipeline executions to ensure that they are completed within the SLA’s. + Troubleshoot issues related to data pipelines, data integrations, bug fixes, performance bottlenecks. + Work with multiple cross functional teams like Data Engineering, Business Analytics, IT and Vendor Support to resolve any incidents / problems. + Continuously monitor and alert for any anomalies in the data. + Implement role-based security, including AD integration, security policies, and auditing across the data platform environment. + Test data to make sure it matches business logic and meets basic operational thresholds. + Work with Data Scientists to support the AI / ML model development environments and operationalization of the models. + Closely monitor and optimize the data platform infrastructure cost. + On-call support for P1 issues on weekends / holidays on rotation basis. + A desire to work in a collaborative, intellectually curious environment. **Qualifications:** + A bachelor's degree in computer science or equivalent + 5+ years of experience as a Data Engineer, + Experience with Azure big data tools: Azure Databricks, Azure Synapse, HDInsight, ADLS + Experience with relational SQL and NoSQL databases. + Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools. + Experience with data pipeline and workflow management tools: ADF and Logic Apps + Experience with Azure cloud services: VM, Azure Databricks, Azure SQL DB, Azure Synapse + Experience with stream-processing systems: Azure Streams + Experience with scripting languages Python. and have strong knowledge in developing Python notebooks.