Software Engineer – Data Platform
Continental3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, implement, and maintain secure, scalable, fault-tolerant data ingestion pipelines from enterprise and manufacturing source systems.
- Build and maintain Python- or Scala-based extraction services, APIs, data interfaces, and metadata-driven platform components.
- Own production data interfaces end-to-end, including monitoring, logging, alerting, failure handling, documentation, compliance, audit, and traceability.
- Implement CDC, delta, event-based, push-based HTTP, and Kerberos-authenticated data transfer patterns.
- Operate and troubleshoot SAP extraction and integrations with Salesforce, SharePoint, APIs, file endpoints, and other source systems.
- Develop a web-accessible data catalog with backend services, metadata management, dataset discoverability, previews, exploration, lineage, and Unity Catalog integration.
- Design structured data access request workflows with submissions, approval chains, audit trails, and enablement triggers.
- Define and implement multi-layer data quality validation, version-controlled DQ rules, automated monitoring, severity handling, filtering, and quarantine logic.
- Collaborate with cybersecurity, infrastructure, architecture, source-system owners, business stakeholders, and global IT teams.
- Serve as the technical escalation point for complex source integrations and translate requirements into scalable technical patterns.
Requirements
- Degree in Computer Science, Data Engineering, or a related field.
- 5–8 years of software development experience with hands-on inbound and outbound data exchange interfaces, APIs, CDC, and endpoint management.
- Hands-on experience with Scala or Java, Python, advanced SQL, and Git for collaborative development.
- Experience building robust ingestion pipelines and ETL jobs in a software engineering context.
- Experience with Azure or other hyperscaler resource management.
- Familiarity with data lakes, data warehousing, Databricks, and Azure is preferred.
- Strong backend or software engineering experience, such as Java, Scala, or distributed systems, is encouraged for candidates moving into data platform engineering.
- Ability to collaborate across geographies, time zones, global teams, and enterprise stakeholders.
- Notebook-only data processing, dashboarding, analytics, BI, or SQL-only experience without software engineering experience is not a fit.
Benefits
- Training opportunities.
- Mobile and flexible working models.
- Sabbaticals.
- Full-time employment with a global team and work-life balance support.
About Continental
Continental develops and manufactures tires, automotive electronics, software, and systems for vehicle safety, automated driving, and connectivity, serving global automakers and industrial customers. Its ContiTech division supplies rubber and plastic-based solutions such as belts, hoses, and materials for non-automotive applications. Founded in 1871 and headquartered in Hannover, Germany, Continental AG is a public company listed in Frankfurt and operates worldwide across OEM and aftermarket channels.