Lead Data Engineer, (Azure/Python) | Mxp069

.About Gartner IT.Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients.We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner.Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.About the role.Gartner is looking for a well-rounded and motivated lead software developer to join its team which is responsible for developing scalable and configurable data engineering pipelines.These efforts will help us curate and deliver data optimally and efficiently to downstream applications.What you will do.Participate in architecture design and implementation of high-performance, scalable, and optimized data solutions.Design, build and automate the deployment of data pipelines and applications to support data scientists and researchers with their reporting and data requirements.Integrate data from a wide variety of sources, including on premise databases and external data sources with rest APIs and harvesting tools.Collaborate with internal business units and data science teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions.Effectively support and partner with businesses on implementation, technical issues, and training on the data lake ecosystem Work with team on managing AWS resources (EMR, ECS clusters, etc.) and continuously improve deployment process of our applications Work with administrative resources and support provisioning, monitoring, configuration, and maintenance of AWS tools.Promote the integration of new cloud technologies and continuously evaluate new tools that will improve the organization's capabilities while leading to lower total cost of operation.Support automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.Work with the team to implement data governance, access control and identify and reduce security risks.What you will need.Strong IT professional with 6-9 yrs of experience in software development for data engineering using Python, AWS/ GCP.The candidate should have strong problem-solving skills along with high on ownership and accountability.Must have