Software Engineer III

4 days ago

Mumbai, India JP Morgan Chase & Co. Full time

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Databricks Developer at JPMorgan Chase within the Reporting Technology team, you will play a pivotal role in our data transformation journey. You will be responsible for designing, developing, and implementing cloud-based solutions to replace existing vendor software, supporting the daily needs of Finance users across different APAC locations. Job responsibilities - Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems - Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems - Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development - Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems - Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture - Contributes to software engineering communities of practice and events that explore new and emerging technologies - Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 3+ years applied experience - Hands-on experience in programming languages such as Python and Big Data technologies like Spark, Kafka. - Strong expertise in Databricks and AWS Cloud. - Proven experience in SQL database management and development. - Proficiency in software development processes, including DBX framework and Agile methodologies. - Experience with data integration, ETL processes, and data warehousing. - Excellent problem-solving skills and attention to detail. Preferred qualifications, capabilities, and skills - AWS, Google, or Azure certification. - Databricks Certified Data Engineer or equivalent. - Knowledge of DevOps practices and CI/CD pipelines, containerization - Docker, Kubernetes, etc.

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