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We're hiring a Database Engineer to design, build, and operate reliable data platforms and pipelines. You'll focus on robust ETL/ELT workflows, scalable big data processing, and cloud-first architectures (Azure preferred) that power analytics and applications.
Job Responsibility:
Design, build, and maintain ETL/ELT pipelines and data workflows (e.g., Azure Data Factory, Databricks, Spark, ClickHouse, Airflow, etc.)
Develop and optimize data models, data warehouse/lake/lakehouse schema (partitioning, indexing, clustering, cost/performance tuning, etc.)
Build scalable batch and streaming processing jobs (Spark/Databricks, Delta Lake
Kafka/Event Hubs a plus)
Ensure data quality, reliability, and observability (tests, monitoring, alerting, SLAs)
Implement CI/CD and version control for data assets and pipelines
Secure data and environments (IAM/Entra ID, Key Vault, strong tenancy guarantees, encryption, least privilege)
Collaborate with application, analytics, and platform teams to deliver trustworthy, consumable datasets
Requirements:
ETL or ELT experience required (ADF/Databricks/dbt/Airflow or similar)