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RSA Tech · 1 day ago

Azure Databricks Lead with Oracle ODI

Detroit, MI

Full-time

Onsite

Lead/Staff

$50/hr - $60/hr

14+ years exp

RSA Tech is seeking an Azure Databricks Lead with Oracle ODI to work in Detroit, MI. The role involves configuring JDBC/ODBC connections for data integration, developing cloud-native data solutions, and leading data strategy sessions to enhance scalability and performance.

AnalyticsInformation ServicesInformation Technology

Hiring Manager

Krish Gupta

Responsibilities

Configure and leverage JDBC/ODBC connections to integrate ODI with Databricks, enabling seamless data transfer and transformation within the Databricks environment

Develop modern data solutions and architecture for cloud-native data platforms

Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF

Lead data strategy sessions focused on scalability, performance, and flexibility

Collaborate with customers to implement solutions for data modernization

Create training plans and learning materials to upskill VM associates

Build a smart operations framework for DataOps and MLOps

Qualification

DatabricksCloud-native architectureData governancePySparkData warehouse conceptsETL ToolsAgile/Scrum methodologiesData MeshData Products

Required

Should have 14+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions in Databricks from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics

Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc

Experience with Databricks, PySpark, and modern data platforms

Proficiency in cloud-native architecture and data governance

Strong experience in migrating from on-premises to cloud solutions (Spark, Hadoop to Databricks)

Understanding of Agile/Scrum methodologies

Demonstrated knowledge of data warehouse concepts

Strong understanding of Cloud native databases, columnar database architectures

Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment

Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques