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10/03 Shilpy Sinha
Executive Search Consultant at Fidius Advisory

Views:540 Applications:94 Rec. Actions:Recruiter Actions:15

Head - Data Engineering - Manufacturing (10-20 yrs)

Bangalore/Mumbai Job Code: 901057

The Head of Data Engineering would be an accomplished Data Leader who conceptualize, architect, build and deploy highly scalable distributed applications and platforms to acquire, process, analyze data in real-time as well batch and will support Data Science teams in enabling business for Data Driven Operations and Decision making.

Role & Responsibilities:

- Define a big data analytics stack / platform to ingest data, create organized layer (relational, no SQL), define reporting & data visualization; Craft a deployment road map in partnership with Technology and Data Science Competencies

- Architect data warehouses / data lakes etc. with big data technologies such as Spark, Python & Kafka and leveraging Maching Learning cloud platforms such as AWS (preferred) followed by GCP / Azure

- Define standards, methodologies for Data Warehousing environment and design & build highly scalable data pipelines using new generation tools and Big Data Technologies to induct data from various platforms.

- Design, develop and deploy state-of-the-art data models, DWH and data pipeline/ETL using emerging technologies and tools.

- It is critical to partner effectively with Data Science and other key business functions to understand the various data needs towards building scalable, reliable data-powered intelligent systems on the cloud; thus enabling business for data driven processes and decision making.

- Hire, build and nurture a team of highly skilled engineers to drive the strategic & technical roadmaps for the data platform.

- Provide hands-on technical leadership and mentorship to the team.

- Provide technical leadership on tooling and infrastructure Guide, supervise and train a team of data engineers using Agile and DataOps principles

Women-friendly workplace:

Maternity and Paternity Benefits

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