Principal Data Engineer
Konecranes (company site, opens in a new tab)10–15 yrsChennaiHybridDirect career pageEst. 25–40 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, and implementation of scalable data engineering solutions within a Lakehouse architecture.
- Define technical approaches for data ingestion, transformation, integration, and consumption using Azure Databricks, PySpark, SQL, and Delta Lake.
- Provide technical leadership and mentorship to Data Engineers and ensure alignment with data architecture, governance, and delivery standards.
Minimum Requirements
- 10-15 years professional experience in data engineering or related roles.
- Strong expertise in Lakehouse architecture, Azure Databricks, Apache Spark, PySpark, Delta Lake, and enterprise-scale ETL/ELT pipelines.
- Expert-level proficiency in SQL and hands-on experience with Python/PySpark.
- Graduation/Post Graduation required.
Ideal Candidate Profile
- Experienced in designing layered data architectures (Bronze, Silver, Gold) and dimensional data models (Star Schemas, Fact/Dimension models).
- Capable of translating complex business requirements into scalable technical solutions and engaging with senior technical and business stakeholders.
- Proven track record in leading complex data engineering initiatives, driving modernization/migration efforts, and establishing best practices and standards.