About this role
Data Engineer at HAVI. Location: Chicago, Illinois, United States. Role: designing solutions, building pipelines, optimizing performance Requirements: 3+ years data engineering with Spark on cloud, hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake), Azure Data Factory, strong SQL, data quality tooling (Great Expectations/Deequ), IaC (Terraform/Bicep), CI/CD and DevOps for data. Category: Data and Analytics Seniority: Mid Level Tools: Spark, Azure Databricks, PySpark, Scala, Spark SQL, Delta Lake, Unity Catalog, Databricks Jobs, Delta Live Tables, Azure Data Factory, ADLS Gen2, Key Vault, SQL, Great Expectations, Deequ, Git, pytest, dbx, Azure DevOps, GitHub Actions, Terraform, Bicep, Azure Monitor, Log Analytics, Photon Commitment: Full Time Workplace: Hybrid Languages: English