Data Engineer (hybrid)
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
What youll do
Build the data-serving layer: curated datasets marts and product-ready tables
Develop incremental / micro-batch pipelines and support CDC near-real-time ingestion (AWS DMS)
Design BI-friendly data models (star schema) and manage schemas
Build ETL/ELT in Python (Polars) and serve/query via Athena and/or Redshift
Implement data quality observability (freshness completeness duplicates schema drift anomalies)
Orchestrate with Airflow and AWS-native tools (e.g. Step Functions)
Contribute to CI/CD IaC architecture discussions and best practices
What were looking for
4 years building and operating production data pipelines
Strong Python (async/concurrency is a plus)
Strong AWS across services like: S3 Glue Athena Redshift Lake Formation CloudWatch DMS Lambda Step Functions SQS/SNS ECS DynamoDB ( CloudFormation)
Experience with lakehouse tables (Delta or similar) schema evolution partitioning compaction upserts/merge
Solid data modeling skills (star schema) and commitment to testing & data quality
Experience running AWS DMS in production (monitoring/troubleshooting)
What we offer
A competitive salary
Work in a friendly and diverse team
private health insurance
gym membership
learning opportunities
hybrid model of work
flexible benefits
team events
Required Experience:
Manager
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Baxter Planning provides Demand Forecasting Software to Optimize Inventory cost and improve service levels across complex, globalservice supply chains.
