Database Engineer

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.

What You’ll Do

• 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.

Required Qualifications

• ETL or ELT experience required (ADF/Databricks/dbt/Airflow or similar).
• Big data experience required.
• Cloud experience required; Azure preferred (Synapse, Data Factory, Databricks, Azure Storage, Event Hubs, etc.).
• Strong SQL and performance tuning expertise; hands-on with at least one warehouse/lakehouse (Synapse/Snowflake/BigQuery/Redshift or similar).
• Solid data modeling fundamentals (star/snowflake schemas, normalization/denormalization, CDC, etc.).
• Experience with CI/CD, Git, and infrastructure automation basics.

Nice to Have

• Streaming pipelines (Kafka, Event Hubs, Kinesis, Pub/Sub) and exactly-once/at-least-once patterns.
• Orchestration and workflow tools (Airflow, Prefect, Azure Data Factory).
• Python for data engineering.
• Data governance, lineage, and security best practices.
• Infrastructure as Code (Terraform) for data platform provisioning.