JOB DESCRIPTION At JP Morgan Chase we understand that customers seek exceptional value and a seamless experience from a trusted financial institution That s why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys With a strong foundation of trust established by millions of customers in the US we have been rapidly expanding our presence in the UK and soon across Europe We have been building the bank of the future from the ground up offering you the chance to join us and make a significant impact As a Lead Data Engineer - Vice President at JPMorgan Chase within the International Consumer Bank you will be part of a team that plays a crucial role in this initiative dedicated to delivering an outstanding banking experience to our customers You will work in a collaborative environment as part of a diverse inclusive and geographically distributed team We are seeking individuals who are solution oriented with a curious mindset a passion for collaboration and a keen interest in new technology Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs We work in teams focused on specific banking functions and products providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management treasury operations financial crime prevention regulatory reporting and analytics We collaborate with product teams such as card payments electronic payments lending customer onboarding core banking and insurance to understand their product data models and deliver tailored data solutions that meet business needs Job responsibilities - Develop and implement processes and procedures to identify monitor and mitigate data risks within the product Design and implement complex scalable solutions to efficiently process data ensuring consistent and timely delivery and availability Focus on building robust systems that can handle large volumes of data with minimal downtime Develop solutions using Agile DevOps methodologies and continuous integration continuous deployment CI CD practices on public cloud platforms Create reusable frameworks with a strong emphasis on quality and long-term sustainability Collaborate with key partners to enhance understanding of data usage within the business Serve as a subject matter expert on the content and application of data in the product and related business areas Support the Data Analytics Insight team by identifying and integrating necessary data into analytics platforms Document and enforce requirements for data accuracy completeness and timeliness within the product Contribute to a team culture that values diversity opportunity inclusion and respect Required qualifications capabilities and skills Bachelor degree in Computer Science Engineering Information Systems or related disciplines Minimum 3 years of experience in data engineering and professional experience working in an agile agile and customer facing environment Recent hands-on skilled experience actively coding working as a data engineer back-end software engineer considered Understanding of distributed systems and cloud technologies AWS GCP Azure etc Understanding of data streaming and scalable data processing frameworks Kafka Spark Structured Streaming Flink Beam etc Experience with SQL any dialect and Data tools ie Dbt Glue and Working understanding of NoSQL databases Experience in the all stages of software development lifecycle requirements design architecture development testing deployment release and support Experience with large scale datasets data lake and data warehouse technologies on at least TB scale ideally PB scale of datasets with at least one of Redshift Snowflake BigQuery Experience in Infrastructure as Code ideally Terraform for Cloud based data infrastructure Demonstrated expertise in Python programming as well as hands-on experience with data processing technologies including Spark or PySpark Preferred qualifications capabilities and skills - Experience with a scheduling system Step Function Airflow etc Understanding of distributed and non-distributed data structures caching concepts CAP theorem Understanding of security frameworks standards and privacy Desired - experience in automating deployment releases and testing in continuous integration continuous delivery pipelines A solid approach to writing unit level tests using mocking frameworks as well as automating component integration and end-to-end tests Experience with containers and container-based deployment environment Docker Kubernetes etc ABOUT US

📌 Data Engineer Ii (Karnataka)
🏢 JPMorganChase
📍 Karnataka