Role purpose
- The Data Platform Engineer Manager is responsible for designing, building, operating, and continuously improving enterprise-scale , Databricks based data mesh platform at Syngenta.
- This role focuses on platform reliability, scalability, security, and enablement of data engineers, analytics, and data science teams , enable domain autonomy to ingest, process, and share data using Databricks, while ensuring security, quality, and interoperability.
Knowledge, experience capabilities
- Databricks Ecosystem: Expert-level knowledge of Databricks Lakehouse, Spark SQL, Delta Lake, Unity Catalog etc.
- Programming: Proficiency in Python, PySpark, or Scala for ETL/ELT development.
- Cloud Platforms: Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP) and related data services. AWS Preferable.
- DevOps Infrastructure-as-Code (IaC): Familiarity with Terraform, CI/CD pipelines, and DevOps practices.
- Data Governance: Experience with implementing data lineage, PII anonymization, and data quality frameworks.
Critical success factors key challenges
- Strong data engineering skills , logical and reasoning
- Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
- Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
- Excellent communication and stakeholder management skills to explain technical information to individuals who dont have the same technical background
- Problem solving and decision making skills
- Teamwork, team management and leadership skills Qualifications
- B. tech/M. tech
- 8 years of experience in data engineering, data platform engineering, or architecture.
- 3 years of hands-on experience specifically with Databricks in production environments.
- Certifications: Databricks Certified Skilled
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Role: Data Engineer,
Industry Type: Agriculture / Forestry / Fishing,
Department: Engineering - Software & QA,
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: B.Tech / B.E. in Any Specialization
PG: M.Tech in Any Specialization
Key Skills analyticsarchitectureawsazureci/cd pipelinescloudcloud platformsdata engineeringdata governancedata lineagedata qualitydata sciencedata servicesdatabricksdesign thinkingdevopsdevops practiceseltetlgcpiac
📌 Data Platform Engineer Manager (Pune)
🏢 SYNGENTA
📍 Pune