Data Platform Engineer/Lakehouse Architecture
Tasks
- Build analytics dashboard data models
- Create data quality tests and validations
- Deploy infrastructure with IaC
- Design Lakehouse architecture
- Implement stream processing pipelines
- Ingest tool data into data platform
- Manage production grade data platforms
- Monitor data pipeline observability
- Orchestrate data workflows
- Serve data to AI agents
- Transform data through layered processing
- Use graph databases for relationship modeling
Perks/Benefits
- N/A
Skills/Tech-stack
ARM Templates | AWS | AWS CloudFormation | AWS Step Functions | Amazon CloudWatch | Amazon Kinesis | Amazon RDS | Amazon S3 | Apache Airflow | Apache Flink | Apache Kafka | Azure Data | Azure Data Factory | Cypher | DBT | Dagster | Data Factory | Data Modeling | Data Pipeline Monitoring | Data pipeline | Databricks SQL | Datadog | Dataform | Dimensional Modeling | Elasticsearch | Grafana | Great Expectations | Gremlin | Neo4j | OpenSearch | Pipeline monitoring | Prefect | Pulumi | Python | SPARQL | SQL | Scala | Slowly Changing Dimensions | Slowly changing dimensions 2 | Solr | Spark Streaming | Step Functions | Terraform
Education
N/A
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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