Job Overview

We are looking for an experienced Data Engineer with strong expertise in Fabric Pipelines, Data Orchestration, Apache Spark, Scala, and SQL to join the Core Team for the Symphony program supporting The Coca-Cola Company. The ideal candidate will be a hands-on engineer capable of designing, building, optimizing, and maintaining scalable data pipelines in a large enterprise data setting.

Roles Responsibilities
Migrate Spark Job Definitions from Microsoft Azure Synapse Analytics to Microsoft Microsoft Fabric
Build and manage Fabric Pipelines and data orchestration workflows
Design, develop, and maintain scalable data pipelines using Apache Spark, Scala, and SQL
Monitor and support production pipelines post go-live
Troubleshoot pipeline failures, data quality issues, and performance bottlenecks
Refactor and optimize existing code for better performance and scalability
Develop reusable frameworks, automation patterns, and engineering best practices
Work within metadata-driven architecture standards
Ensure orchestration pipelines are used strictly for scheduling while ETL logic remains in code
Manage source code using GitHub
Participate in discovery sessions to gather and analyze data requirements





Required Skills / Primary Skills
Fabric Pipelines
Data Orchestration
Apache Spark
Scala / Java
SQL
Azure Synapse Analytics
GitHub
Data Warehousing
Large-scale Data Integration

Basic Qualifications
8 10 years of hands-on Data Engineering experience
Solid understanding of Spark architecture and core concepts
Proficiency in Scala and/or Java (code-first development)
Advanced SQL expertise
Experience with cloud-based data engineering platforms
Bachelor s degree in Computer Science, IT, or related field (or equivalent experience)

Good to Have
Experience with Microsoft Fabric
Experience in Marketing Data / Consumer Goods Analytics
Knowledge of Metadata-Driven Architectures

Non-Negotiables
Strong hands-on development experience
Immediate joiners preferred
Must be comfortable working in a fast-paced remote workplace

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer Fabric Pipelines / Orchestration Hubballi
🏢 Stack Digital
📍 Hubballi