Data Engineer

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: Data Engineer

Location: Bengaluru

Reporting to: Manager, Analytics

Purpose of the role

AB InBev is seeking a skilled Azure Data Engineer with a minimum of 4 years of experience to join our dynamic team. The ideal candidate should have a strong background in Azure Data Factory (ADF), Databricks, and Delta tables, along with proficiency in PySpark and SQL. Experience with Feature Store is considered a significant advantage.

Key tasks & accountabilities

• Develop, design, and implement data pipelines using Azure Data Factory for efficient data ingestion, transformation, and processing.
• Utilize Databricks to build scalable and optimized data processing workflows and perform advanced analytics tasks.

• Design and manage Delta tables for handling large-scale structured and semi-structured data efficiently.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Optimize and fine-tune PySpark scripts for performance improvement and scalability.
• Create and maintain SQL queries for data extraction, manipulation, and analysis.
• Leverage Feature Store for efficient management and sharing of features across machine learning pipelines (added advantage).
• Monitor and troubleshoot data pipeline issues to ensure data integrity and reliability.
• Stay updated with the latest Azure data engineering technologies and best practices.
• Azure Technology Stack: SQL DW/Synapse- Azure Data Factory - Azure Databricks - Azure Data Lake Storage.
• Ability to write complex SQL scripts and stored procedures.
• Demonstrated experience in design and delivering data platforms for Business Intelligence or Data Warehouse, including data ingestion, ETL and data integration.
• Strong skills in handling and analysing complex, high volume data with excellent attention in details.
• Familiar with Agile methodology and Agile working environment.
• Ability to work along with team leads, BAs, data architects, other.
• Leverage Git, manage Release Cycles.

Qualifications, Experience, Skills

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 4 years of professional experience as a Data Engineer, with a focus on Azure technologies.
• Proficiency in Azure Data Factory for building and orchestrating data pipelines.
• Strong experience with Databricks for data processing, analytics, and machine learning tasks.
• Solid understanding of Delta tables and their usage for managing large-scale data sets.
• Expertise in PySpark for data manipulation, transformation, and analysis.
• Proficient in SQL with hands-on experience in writing complex queries.
• Experience with Feature Store is a significant advantage.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and collaboration skills to work effectively in a team environment.
• Azure certification(s) such as Azure Data Engineer Associate is a plus.

And above all of this, an undying love for beer!

We dream big to create future with more cheers