Senior Databricks Data Engineer - Assistant Manager

Job Description

Job Description Who we are looking for We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services What you will be responsible for As Sr. Databricks Data Engineer you will Design & develop custom high throughput and configurable data pipelines using DataBricks. Ability to drive change through collaboration, influence and demonstration of POCs Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation. Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark. Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation What we value These skills will help you succeed in this role Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline. Strong hand-on experience in troubleshooting DevOps pipelines and Azure services Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks. Experience with Micro Services - API/Event Driven Architecture/Development Strong hands-on experience in troubleshooting DevOps pipelines and Azure services Strong critical thinking, communication, and problem-solving skills. Education & Preferred Qualifications Bachelor’s Degree level qualification in a computer or IT related subject. 7+ years of overall IT experience. 5+ years of Data Engineering experience handling large datasets. 5+ years of Databricks hands-on experience using SQL & Scala/PySpark. 5+ years of experience on cloud-based development using Azure/AWS. Additional requirements Communicate effectively in a professional manner both written and orally Team player with a positive attitude, enthusiasm, initiative and self-motivation Experience of working in the financial industry Experience in collaborating with team members, users and stakeholders across geographical locations. Ability to multi-task, meet aggressive timelines and have strong work ethics Experience with agile development methodology