What are the responsibilities and job description for the Databricks Tech Lead position at Lorven Technologies, Inc.?
Job Details
Hi,
Our client is looking for a Databricks Tech Lead with a Long-Term Contract project in Hartford, CT below is the detailed requirement.
Position: Databricks Tech Lead
Location: Hartford, CT
Contract
Required Skills : Amazon DynamoDB, Amazon SQS, Amazon Lamda, AWS S3, Python, AWS Services, Data Factory, Databricks CLI, Databricks Workflows, Databricks Delta Lake, Databricks SQL, Databricks
Job Description:
- Over 12 years of experience in data management projects and minimum 5 years of professional experience with Databricks
- Lead the design, development, and maintenance of Databricks-based data platforms and pipelines
- Technical Requirements Gathering and Development of Functional Specifications.
- Design, develop, and maintain scalable data pipelines and ETL processes using AWS Databricks, Data Factory, and other AWS services.
- Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks..
- Leverage DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure.
- Must have excellent coding skills either Python or Scala, preferably Python.
- Work with architect and lead engineers for solutions to meet functional and non-functional requirements..
- Must have excellent coding skills either Python or Scala, preferably Python.
- Must have implemented at least 2 project end-to-end in Databricks.
- Experience working in MDM implementation is an asset
- Must have experience on Databricks consisting of various components like Delta lake, dbConnect and db API 2.0
- Databricks workflow orchestration - Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments.
- Must have good understanding to create complex data pipeline
- Must have good knowledge of Data structure & algorithms.
- Must have strong performance optimization skills to improve efficiency and reduce cost.
- Must have worked on both Batch and streaming data pipeline.
- Must have worked on AWS and most common services like S3,Lambda, CosmosDB/DynamoDB,SQS, Cloud databases.
- Must have strong communication skills and have worked leading a team of size five plus
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