03 Aug
|
InfoSpeed Services
|
Bangalore Urban
03 Aug
InfoSpeed Services
Bangalore Urban
Sr. Data Engineer (6 years) / Data Engineer Senior Engineer
Key Technologies / Skill Requirements & Certifications
Must Have
A Problem-solving mindset; Willingness to learn and understand how development works, quality testing, bugs and resolutions fit into the overall system design.
Experience in working independently on assigned work; but also, comfortable collaborating with others to get the development, testing, and issue resolution complete; comfortable sharing concepts and information with teammates
Collaborate with teammates across regions—sharing context early, documenting decisions, and maintaining robust handoffs.
Comfort working in a fast-paced, consulting-oriented setting where priorities shift and outcomes matter.
Databricks (Delta Lake, notebooks, jobs, workflows)
Azure Data Engineering (ADF, ADLS Gen2, Event Hub)
Robust Python / PySpark / SQL
Data ingestion frameworks (batch + CDC + streaming)
Data quality and validation implementation
CI/CD using Azure DevOps
Understanding of performance optimization and scalable data pipelines
Nice to Have
Databricks Data Engineer certification
Experience with ingestion frameworks / accelerators
ERP Data Integration (SAP Oracle, JDE)
Knowledge of orchestration tools (ADF pipelines, Airflow)
Familiarity with Unity Catalog and governance controls
Experience working in Medallion Architecture environments
Q2: Role Expectations
Build and enhance inventory data pipelines, transformations, and integrations for Inventory Data in Databricks
Implement bronze ingestion and raw data staging pipelines
Develop transformations to support downstream silver/gold layers
Apply standardized data quality, validation, and reconciliation checks
Optimize pipelines for performance, scalability, and cost efficiency
Support troubleshooting of ingestion failures, data inconsistencies, and pipeline errors
Collaborate with platform team for environment setup and with modelers for schema alignment
Ensure code follows Stryker standards, CI/CD practices, and reusable patterns
📌 Databricks Engineer Bangalore Urban
🏢 InfoSpeed Services
📍 Bangalore Urban