Principal Data Engineer

Location: Vasanthanagar

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential.

The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?
We Need You.

Job Description

Job Title:

Sr Manager - Data Engineering

Location:

Bangalore (Onsite)
Reporting to:
Director of Analytics

PURPOSE OF ROLE
Leading Data Solution Architecture and a team of Architects/Data Engineers in the field of Data and Analytics.

KEY TASKS AND

ACCOUNTABILITIES
Responsible for the execution of the data strategy androadmap within a line of Product, or for a main platform as well as contribute new strategic ideas, technologies and solutions to business and technical challenges
Lead Data Solution Architecture and Data Governance practice of our Global Data Platform.
Leading directly a group of hands-on Architects and Data Engineers working in different locations/groups/countries.
Develop and govern the implementation of technical and solution architecture standards, guidelines and practices which implement data strategies.
Lead architectural analysis, notes, diagrams and system design for systems and features while working closely with architects, product managers and engineers
Own E2E solution architectural vision and system design for company products and system components / microservices while interfacing with other system architects, software engineers, QA, BI analysts, data scientists, product managers
Lead Non-Functional Requirements (NFR) from a to z and solutions for existing and new systems, data flows, performance, scalability redundancy, security, and others.
Lead/Implement proof of concept activities for new technologies and solutions (Cloud, SaaS, open source, etc) and competing approaches to meeting functional and/or non-functional requirements.
Innovate, identifying new data driven opportunities and pursuing the execution of hypothesis with a high level of autonomy with focus on outcomes.

QUALIFICATIONS, EXPERIENCE, SKILLS

Education:

Master’s or Bachelor's Degree in Computer Science, Engineering or a related technical discipline, or the equivalent combination of education, technical training

Experience:

At least 3 years’ experience of leading a team of Architects / Tech Leads/ Data Engineers with very strong interpersonal skills
At least 3 years of experience with Azure (MUST) including knowledge of platform services such as Azure Gen2, Azure Blob, ADF, Sql DW/Synapse, Hadoop, Spark, Azure Dev Ops, Data Engineering, data pipelines, data streaming.
OR Similar experience of AWS Stack
Must have a minimum of 3 years of experience developing/architecting/solutioning on Big Data platforms
At least 3 years of experience in developing and operating large-scale data structures for business intelligence analytics using: ETL/ELT processes; OLAP technologies; data modeling; SQL; DW Migration projects (On Prem to Cloud)
Technical/Functional

Skills:

(Mention any technical, functional or tool related skill in this section)
Mandatory

Skills:

Proven experience in solution architecting and refactoring complex systems, as an architect, team-leader or a senior team-member.
Ability to lead without formal authority, serve as principal engineer and mentor to other Architects, lead tasks of several Architects and multiple engineering teams.
Strong SQL experience with relational, MPP and No

SQL databases and Data Warehouses
Exposure to CI/CD and Dev Ops practices, pipelines, containers/containerization (Docker, Kubernetes) and…