Software Engineer – Data Platform
Continental (ContiTech) (company site, opens in a new tab)5–8 yrsBengaluruHybridDirect career pageEst. 18–30 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and maintain secure, scalable, fault-tolerant data ingestion pipelines and production data interfaces from diverse sources including SAP, Salesforce, SharePoint, APIs, and legacy systems.
- Develop reusable, version-controlled data platform components, APIs, and data handling services following CI/CD and automated testing best practices in a global data engineering environment.
- Establish and operate comprehensive data quality management, monitoring, and reporting frameworks with integration into orchestration and CI/CD pipelines, collaborating with cybersecurity and IT teams to ensure compliance and security.
Minimum Requirements
- Degree in Computer Science, Data Engineering, or related field.
- 5–8 years of software development experience with inbound/outbound data exchange interfaces, including APIs and Change Data Capture (CDC).
- Hands-on expertise with Scala/Java, Python, advanced SQL, Git, and CI/CD methodologies.
- Experience with Azure or other hyperscaler resource management; familiarity with data lake and data warehousing concepts; Databricks and Azure knowledge a plus.
Ideal Candidate Profile
- Strong backend/software engineering background (Java, Scala, distributed systems) aiming to specialize in data platform engineering.
- Experienced in building robust data ingestion pipelines and ETL jobs in production-grade environments with secure, version-controlled software engineering practices.
- Comfortable collaborating across global teams and stakeholders, with experience integrating complex source systems and adhering to cybersecurity and compliance standards.