Description
Job Overview This is an excellent opportunity for a talented cloud data senior engineer to be part of our company's cloud architecture and position in cloud environments. You will play a strategic role in building and maintaining big data pipelines run in cloud systems. Take technical ownership in the data platform, in terms of delivery.
The ideal candidate will have the necessary technology, communication and leadership skills to hands-on manage highly visible and complex projects from start to finish. Must be passionate about data, be a change agent and mentor, and a strong collaborator with the various business and technology leaders.
Responsibilities Design and develop high volume data ingestion components and ETL solutions to collect data from various internal and external sources. Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives. Participate in project planning and design sessions and conduct "whiteboard" sessions with data engineering, architects, operations and development team. Ensure data quality and controls are in place to support various data ingestion inflows and outflows processes. Manage and use tools in the cloud data warehouse development and deployment such as ETL tools, data quality and cleansing tools, query/reporting tools, OLAP, data mining, etc. Administer the overall data warehouse strategy, architectures and security, definition of data models, all data marts, evaluation of infrastructure components, software, performance and data applications design. Research emerging technology trends, new models, vendor solutions and market opportunities to identify potential industry disruptors that could help the organization dominate their position in the market. Requirements Technical BS degree, Computer Science or Math / Statistics background highly desired. Significant experience with Cloud Data Lake technologies and Distributed & No-SQL data architecture and models. Working knowledge of designing architectures for large volume real time data streams and component services. Knowledge of and experience with Big Data technologies in Azure or AWS. Experience with scaling and improving a variety of vendor and open-source technologies. Experienced in agile data and development engineering methods. Good communications and listening skills are critical components of this job. Must be able to interact with development and infrastructure teams, business and vendors including the training and mentoring of team members. A proven track record for the successful delivery of cloud data warehouse solutions and related components. Must be a tenacious problem solver able to make routine decisions as well as after-hours support requirements. Good understanding of fault-tolerant architectures and high availability. Organization Mercedes-Benz Research and Development India Private Limited
Primary Location India-Karnataka-Bangalore
Work Locations Brigade Tech Gardens, Katha No. 119
Kundalahalli Village, K.R. Puram Hobli, Ward No. 85
Bangalore 560037
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