Senior Research and Development Engineer for transformer mechanical design at Hitachi Energy. Leading software development for innovative projects and collaborating within a global team.
IS
Hybrid Data Platform Engineer – Lakehouse Architecture
Posted 3 weeks ago
About the role
- Data Platform Engineer designing and implementing cloud-based data lakehouse for Infotree Global Solutions. Ingesting and transforming data for analytics dashboards and AI agents.
Responsibilities
- Design and implement a cloud-based data lakehouse platform that ingests engineering and security tool data
- Transform data through multiple layers
- Serve data to both analytics dashboards and AI agents
Requirements
- 8+ years in data engineering roles, with at least 2 years building lakehouse architectures (Bronze/Silver/Gold or equivalent medallion patterns)
- Proven track record delivering production-grade data platforms
- Experience with graph databases (Neo4j, Amazon Neptune, TigerGraph) for relationship modeling
- Hands-on with stream processing (Kafka, Flink, Spark Streaming, Kinesis)
- Deep expertise in AWS, (S3/Blob, RDS/SQL Database, managed Kafka, serverless compute)
- Expert-level SQL, dimensional modeling, SCD2, normalization vs. denormalization trade-offs
- dbt, Databricks SQL, Dataform, or custom SQL/Python frameworks
- Python or Scala for data processing, scripting, and automation
- Airflow, Prefect, Dagster, Step Functions, or Azure Data Factory
- Terraform, CloudFormation, Pulumi, or ARM templates
Benefits
- Hybrid work environment
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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