Resolve production issues acting as second line support

Analyze and enhance performance of Spark applications

Partner with Analytics and Development teams to refine code and workflows

Develop and implement optimizations for data pipeline code

Maintain and enhance SQL queries and database efficiency

Support deployment and monitoring of data solutions on Azure platform

Communicate clearly with clients to understand requirements and provide progress updates

Ensure compliance with coding standards and quality best practices

Assist in debugging and troubleshooting data processing tasks

Document solutions and processes thoroughly

Engage in continuous learning and professional development

Proven experience in Spark application development with over 3 years

Advanced proficiency in SQL

Hands-on experience with Microsoft Azure Cloud services

Skilled in Databricks platform development and usage

Familiarity with Python and Scala programming languages

Strong ability to analyze and optimize query and cost performance

High attention to detail and dedication to maintaining code and process quality

Experience working effectively with cross-functional teams

Eagerness to learn new technologies and enhance communication skills

Effective communication skills with B2+ level English proficiency