Field Data Engineer

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Data Ingetion and Data Platform

FMCG / ecommerce background - knows structured lay out.

End to end pipeline maintenance and creation

ML transformation

4 years of experience

work mode - Hybrid - 2/ 3 days in a week.

Mid-level Data Engineer (Data Science is a plus)
Hands-on Python/Scala/Spark
Experience with Spark Kubernetes
Airflow and/or Azure Data Factory
Data ingestion and scalable pipelines
Cloud platforms (Azure/GCP)
Good communication skills (stakeholder-facing)

FIELD ENGINEER – DATA PLATFORM

About the Team

BrewDat is ABI’s data platform powering data products and AI solutions across all our domains – from sales and marketing to supply finance people and more.

We provide the data foundations frameworks and tools that enable teams across ABI to ingest transform govern and serve data at scale - following Data Mesh and Domain-Driven Design principles.

About the Role

Do you thrive on solving complex data challenges and envision how data can drive business transformation Are you passionate about building and scaling cutting-edge data solutions If so this opportunity is for you!

We are looking for a Data Solution Architect to join our global team and play a pivotal role in advancing our in-house cloud-native data platform. This role acts as a Field Engineer ensuring the adoption and success of our platform by engaging deeply with engineering teams setting technical standards and driving best practices across the organization.

You will work at the forefront of Big Data Spark and Lakehouse Architecture collaborating with global teams in one of the world’s largest Consumer Packaged Goods (CPG) companies.

Key Responsibilities

Act as a technical leader guiding engineering teams on data architecture ingestion frameworks and best practices.
Develop reference architectures how-to guides and demo applications to scale adoption and implementation.
Conduct Proof of Concepts (PoCs) to evaluate and select the best technology solutions.
Support development teams in resolving complex data challenges.
Collaborate extensively with business and technology stakeholders to align solutions with business needs.
Advocate for a data-driven approach ensuring measurable success of data programs.
Implement best practices in systems integration security performance and data management.
Ensure data governance compliance and security best practices across all implementations.

What You Bring

Strong programming skills in Python Scala and Spark with a passion for clean maintainable code.
Hands-on experience with big data processing using Spark and Kubernetes.
Expertise in data orchestration tools such as Airflow and Azure Data Factory.
Experience with data extraction from multiple sources (APIs RDBMS SAP MongoDB Oracle) with different ingestion methods (full incremental CDC).
Strong understanding of cloud-based data services (Azure GCP).
Proficiency in CI/CD pipelines and DevOps for data solutions.
Excellent communication and presentation skills including formal presentations and technical whiteboarding.
Ability to translate business needs into technical solutions and collaborate with cross-functional teams.
Proficiency in data modeling techniques and performance tuning for large-scale data systems.
Bachelor’s degree in Computer Science Engineering Mathematics or a related field.

Bonus Points For

Knowledge of modern data architectures (Lakehouse Kappa Lambda Data Warehousing).
Hands-on experience with Object-Oriented Programming (OOP) in Python.
Experience in optimizing data pipelines for performance and scalability.
Ability to mentor junior engineers and provide insightful code reviews.
Strong problem-solving skills and a self-driven autodidactic mindset.
Good understanding of product development lifecycles.
Availability for hybrid work.

Why Join Us

Work in a global fast-paced environment with a world-class data platform.
Be at the forefront of data innovation solving real-world business challenges.
Collaborate with top talent in a high-impact influential role.
Enjoy opportunities for growth mentorship and continuous learning.

Data Ingetion and Data PlatformFMCG / ecommerce background - knows structured lay out.End to end pipeline maintenance and creationML transformation4 years of experiencework mode - Hybrid - 2/ 3 days in a week. Mid-level Data Engineer (Data Science is a plus)Hands-on Python/Scala/SparkExperience with...