13 days ago
Base Salary
$60k - $135k/yr
Responsibilities
- Design Databricks Lakehouse architecture using Delta Lake and Bronze/Silver/Gold Medallion layers.
- Build pipelines with Databricks Workflows, Delta Live Tables, Auto Loader, Azure Data Factory, and Databricks SQL.
- Develop enterprise data solutions using Azure Data Lake Storage Gen2, Synapse, PySpark, Spark SQL, and SQL.
- Optimize Spark workloads through partitioning, cluster sizing, data skew handling, broadcast joins, and Photon acceleration.
- Lead migrations from SAS, Hadoop, Teradata, Oracle, SQL Server, Synapse, and legacy ETL platforms.
- Define data modeling, domain architecture, batch and streaming processing, event-driven processing, governance, security, lineage, and access controls.
Requirements
- 5–8 years of experience in Databricks data engineering.
- Strong hands-on experience in cloud data architecture, Databricks platform design, performance optimization, migration, data modeling, streaming, and security.
- Experience with Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, Azure Data Factory, Synapse, and modern data governance practices.
Benefits
- The role is based in Minneapolis, Minnesota, with three days onsite per week.
- Eligible for Wipro's standard benefits, including medical and dental options, disability insurance, paid time off including sick leave, and other paid and unpaid leave options.
- Employment may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).