Data Engineer

AB InBev GCC India; Bengaluru; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

AB InBev GCC India is looking for an Azure Data Engineer to join their dynamic team in Bengaluru. This role involves designing and implementing scalable data solutions using Microsoft Azure cloud services.

The ideal candidate will have a proven background in data engineering, specifically with Azure Data Factory and Azure Databricks, along with strong SQL and ETL skills. This is an exciting opportunity for those willing to make a significant impact through data analytics.

Qualifications

• 5-7 years of experience as a Data Engineer with a focus on Microsoft Azure technologies.
• Hands-on experience with Azure services including Azure Data Factory and Azure Databricks.
• Strong proficiency in SQL with experience in data modeling and ETL.

Responsibilities

• Design and implement complex data processing logic and build curated datasets.
• Develop and maintain scalable data pipelines using Azure Data Factory and other tools.
• Ensure data quality, integrity, and security in data-related processes.

Skills

Microsoft Azure technologies

Data Engineering

SQL

Python

Spark

Data modeling

ETL processes

Azure Data Factory

Azure Databricks

Azure SQL Database

Data quality validation

Version control (Git)

Education

Bachelor's degree in Computer Science, IT or related field

Tools

Azure Data Factory

Azure Databricks

Azure Blob Storage

Azure Data Lake Storage

Job description

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

Reporting to

Senior Manager Data Engineering

Purpose of the role

We are seeking a skilled and motivated Azure Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience with Microsoft Azure cloud services, data engineering, and a strong background in designing and implementing scalable data solutions.

Key tasks & accountabilities

• Design and implement complex data processing logic involving multi-source joins, transformations, and data quality validations to build curated datasets for data scientists and downstream analytical applications.
• Design, develop, and maintain scalable data pipelines and workflows using Azure Data Factory, Azure Databricks, and other relevant tools.
• Implement and optimize data storage solutions in Azure, including Azure Blob Storage.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions that align with business objectives.
• Ensure data quality, integrity, and security in all data-related processes and implementations.
• Troubleshoot and resolve issues related to data pipelines, ensuring minimal downtime and optimal performance.
• Stay current with industry trends and best practices, and proactively recommend improvements to existing data infrastructure.

Qualifications, Experience, Skills

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer with a focus on Microsoft Azure technologies.
• Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics.
• Strong proficiency in SQL and experience with data modeling and ETL processes.
• Familiarity with data integration and orchestration tools.
• Knowledge of data warehousing concepts and best practices.
• Experience with version control systems, preferably Git.
• Excellent problem-solving and communication skills.

Level of educational attainment required

B.Tech

Previous work experience

5-7 Years of Experience

Technical Expertise

• Proven experience in Azure Databricks and ADLS architecture and implementation.
• Strong knowledge of medallion architecture and data lake design.
• Expertise in SQL, Python, and Spark for building and optimizing data pipelines.
• Familiarity with data integration tools and techniques, including Azure-native solutions.