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Mid-level data role in Bangalore with broad required skills and enterprise integrations drives high applicant competition.
Core data platform skills are transferable across industries, though SAP and manufacturing integrations increase domain specificity.
Explicit 5–8 years plus mandatory production engineering, cloud, and integration skills make shortlisting highly strict.
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Design, implement, and maintain secure, scalable, and fault-tolerant data ingestion pipelines integrating multiple source systems including SAP, Salesforce, and legacy platforms.
Own end-to-end production data interfaces and develop reusable, version-controlled data platform components following CI/CD and automated testing best practices.
Establish and manage data quality frameworks with automatic monitoring, collaborate with cybersecurity for secure delivery, and serve as a technical escalation point for complex source integrations.
5–8 years of hands-on software development experience with inbound- and outbound data exchange interfaces using technologies such as APIs and CDC.
Proficient in Scala/Java, Python, advanced SQL, and experienced with Git and CI/CD methodologies.
Degree in Computer Science, Data Engineering, or a related field.
Experience with Azure or other hyperscaler resource management environments, plus familiarity with data lakes, data warehousing, and Databricks is a plus.
Experienced backend/software engineer with strong skills in Java, Scala, distributed systems transitioning into data platform engineering roles.
Demonstrated ability to build and operate production-grade, metadata-driven data pipelines and APIs in a global, cross-geography enterprise environment.
Technical proficiency in designing secure, monitored, and fault-tolerant data services with a strong focus on automated testing and data quality management frameworks.