We are looking for skilled Data Engineers to design, build, and optimize scalable data pipelines and warehousing solutions that power critical business decisions. The ideal candidate will have strong hands-on expertise in SQL and Snowflake, along with proven experience in either dbt or Azure Data Factory (ADF) for orchestration and transformation workflows.

• Design and optimize dimensional models; structure facts/dimensions for • performance and reuse. • Develop and maintain ELT/streaming pipelines (batch + near-real-time). • Write and tune advanced SQL; implement orchestration and dependency • management. • Build integration interfaces (APIs/microservices) and manage data contracts. • Enforce data-quality checks, validation rules, and observability/alerting. • Use Git and CI/CD to promote code and data assets across environments. • Support production run: incident/problem triage, performance monitoring, SLA • follow-up. • Collaborate with stakeholders to refine requirements and document lineage/logic.

• Strong SQL and Python for data engineering (pipelines, transformations, utilities). • Solid Data Warehousing & Dimensional Modeling (star/snowflake, • facts/dimensions). • Experience building ELT and/or streaming pipelines, including orchestration. • Hands-on with version control (Git) and basic CI/CD for data workloads. • Working knowledge of data-quality practices and observability/monitoring. • Comfortable designing/consuming APIs and managing data contracts. • Exposure to cloud data platforms (Azure/AWS/GCP) and container/orchestration • basics. • Clear communication, collaborative mindset, problem-solving, and ownership. NICE-TO-HAVE • ELT & orchestration tools (dbt, Airflow, Dagster, Fivetran). • Distributed processing & streaming (Spark, Databricks, Kafka). • Cloud warehousing/lakehouse (Snowflake, BigQuery, Redshift) and cost/perf tuning. • Data testing & quality frameworks (Great Expectations, Soda). • IaC/DevOps (Terraform, Helm) and Kubernetes. • Security & governance (secrets, RBAC, catalogs/lineage).