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
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