Business Analyst

Roles and Responsibilities:

 Architecting and designing analytics platform solution for clients

 Identifying data sources and defining data pipeline, segmentation, and performance engineering for

scale

 Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of

deliverables.

 Strong understanding of data modeling, data warehousing concepts and various analytical data models

 Familiarity with business domains such as healthcare

 Migration experience highly preferred

 Azure Cloud experience highly preferred

 Perform research with new technologies and third-party vendor technologies as required and

prototyping Design, develop and implement analytics based on the discussions with the team.

 Programming skills in generic analytic platforms using Python/ Java/ Scala

Responsibilities:

 Design, develop, and implement data processing pipelines using Databricks. 

 Administer and maintain Databricks clusters, ensuring optimal performance, reliability, and security.

 Collaborate with cross-functional teams to deploy, configure, and manage Databricks environments.

 Implement and enforce security best practices for Databricks workspaces, including access controls

and data encryption.

 Monitor system health, troubleshoot issues, and perform routine maintenance tasks.

 Work closely with data engineers and data scientists to understand workload requirements and

optimize cluster configurations.

 Collaborate with IT teams to integrate Databricks with other enterprise systems.

 Keep abreast of Databricks updates, patches, and new features, and implement them as needed.

 Provide technical support and mentorship to junior administrators.

 Develop and maintain ETL processes, ensuring data accuracy and consistency.

 Work with business stakeholders to understand analytics requirements and translate them into

Databricks workflows.

 Implement and maintain version control for Databricks notebooks and code.

 Troubleshoot and debug Databricks jobs and provide solutions to performance issues.

 Stay updated on Databricks best practices and incorporate them into development processes.

Qualifications:

 Bachelor's degree in computer science, Information Technology, or a related field.

 Proven experience as a Databricks Developer or similar role.

 Proficient in Apache Spark, Databricks notebooks, and related technologies.

 Strong programming skills in languages like Python, Scala, or SQL.

 Experience with data modeling, ETL processes, and data warehousing concepts.

 Familiarity with cloud platforms and integration with Databricks.

 Excellent problem-solving, analytical, and communication skills.