Proficient in developing big data solutions in Databricks
Experience with SparkSQL and processing large datasets
Strong debugging skills for performance optimization
Understanding of data architecture principles and emerging technologies
Responsibilities
Develop code components using Apache Spark and Java
Implement and optimize Spark jobs in Databricks
Collaborate with stakeholders to assess data requirements
Conduct code reviews and mentor junior developers
Monitor data pipeline reliability and scalability
Document designs and best practices for data workflows
Work with DevOps to automate deployment processes
Benefits
Work in a collaborative, cross-functional team environment
Opportunities for personal and professional development
Engagement in innovative projects using cutting-edge technology
Contributions to enhancing data architecture and engineering practices
Full Job Description
Role description
Job Title: Data BricksDeveloper
Work Location : Tampa,Florida
Job Summary
Seeking a Specialist with 5 to 7 years of experience in Apache Spark and Java to develop and optimize big data solutions within the Databricks environment
Design develop and maintain scalable big data applications using Apache Spark and Java Collaborate with crossfunctional teams to implement data processing pipelines on Databricks Utilize SparkSQL and related technologies to transform and analyze large datasets efficiently Ensure code quality and performance optimization in Sparkbased applications Participate in data architecture design and contribute to the enhancement of data platforms Stay updated with emerging trends and technologies in the DatabricksSparkSQLScalaPythonJava ecosystem Support data engineering tasks including data ingestion data cleansing and data transformation Assist in troubleshooting and resolving performance bottlenecks in data workflows
Roles and Responsibilities
Develop robust and reusable code components using Apache Spark and Java Implement and optimize Spark jobs in the Databricks environment to meet business requirements Collaborate with data scientists analysts and other stakeholders to understand data needs Conduct code reviews and provide mentorship to junior team members Monitor and improve data pipeline reliability and scalability Document technical designs workflows and best practices Work closely with DevOps teams to automate deployment and monitoring processes Participate in sprint planning estimation and delivery of data engineering projects Leverage Databricks platform features to enhance data processing efficiency and security
