IT Engineer - Data Lakehouse
Continental (ContiTech) (company site, opens in a new tab)3–6 yrsBengaluruHybridDirect career pageEst. 10–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and operate scalable data pipelines in Azure Databricks environment to support Supply Chain Management (SCM).
- Implement data products and analytics aligned with SCM business domains ensuring high data quality, availability, and reliability.
- Apply professional software engineering practices including CI/CD, test-driven development, and modular reusable code in an enterprise-scale Azure data platform.
Minimum Requirements
- 3–6 years of hands-on experience in data engineering roles, preferably in enterprise environments.
- Proficiency in Azure Databricks, PySpark, Scala, Delta Lake, and Azure Data Lake Storage (ADLS Gen2).
- Experience with CI/CD pipelines, version control (Git), and software development best practices including TDD and modular code development.
- Degree in Computer Science, Data Engineering, Information Systems, or related discipline; relevant certifications (e.g., Databricks DE Associate, Azure Data Engineer) preferred.
Ideal Candidate Profile
- Experienced in building production-grade data pipelines focused on Supply Chain Management or related business domains.
- Skilled in agile software delivery methods (Scrum, SAFe) and collaboration in international, cross-functional teams.
- Capable of translating business requirements into technical data solutions with strong emphasis on data governance, testing, and performance optimization.