Senior Software Engineer- Big Data and AWS Cloud

Job Description

Data Management is part of the Chief Technology Office Organization (CTO) and plays a pivotal role in supporting all the Lines of Business and Corporate Functions with leading edge technology solutions in JPMorgan. Its core priority and focus are on enabling the firm to embrace, adopt and deliver real business value, at pace to enable AI/ML solutions driven by Global consumers whilst ensuring compliance to the Firmwide Data Policy for all the platforms modern or legacy.JPMC Advanced Data Enterprise (JADE) increases productivity and improves regulatory compliance by managing and governing data in a secure, scalable and frictionless manner. As a central technology organization, JADE aims to make industry standard capabilities accessible and flexible to internal clients and partners in support of effective and efficient data management and governance at JPMorgan Chase & Co.Why Join The data journey has never been more front and central to the Firm s success. From the Operating Committee of the Firm down the focus is on ensuring the Data Program achieves its goals for the Business. Not often programs of work come along with this level of focus to build products, leveraging the latest technology, be part of a global team and execute with full priority with required investment. You will be working on Big Data and Analytics products that enable a governed, centralized, curated and secured repository to expedite advanced analytics, AI/ML, and business analytics in the public cloud and on premises. Do you like to engineer large scale mission critical solutions that are Always On Do you like to contribute where cutting edge software development, global scale system architecture, Data and enterprise systems and tools intersect Are you curious about how things break, so that you can eliminate these failure modes Are you driven to eliminate toil by designing/adopting better tools and automation techniques If so, we would love to have you in our CTO Engineering team.Your experience in one or more technology domains will help solve complex and mission critical problems, internally and externally. As a constant learner and early adopter, you re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. In addition to creating solutions with your in-house team, you ll also work alongside our team of technologists from around the world who are just as dedicated as you are.Responsibilities shall include:

• Working with our LOB (line of business) users, collaborate with other technology teams to design, develop, test full stack cloud data solutions.
• Leading and be responsible for the craftsmanship, security, availability, resilience and scalability of your solution.
• Leading the innovation, perform proof of concept and the implementation of cutting-edge technologies
• Expert practitioner in one or more technology domains, may be a cross-domain expert able to solve complex and mission critical problems within a business or across the firm.
• Designs, analyzes, develops, tests, debugs and delivers software enhancements and/or new products.

This role requires a wide variety of strengths and capabilities, including:

• Bachelors/Master s degree in Engineering, Computer Science, or Information Technology or equivalent experience.
• 7+ years of experience in application development using any of these programming languages: Java,Spark, Scala. Experience working in financial industry is preferred.
• 1+ years of experience working with Amazon Web Services (AWS) including entitlement and IAM policy. AWS certification adds more value.
• 3+ years of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink)
• 2+ years experience working with data pipeline open source products (Ex Airflow, Jupyter, Anaconda etc)
• 3+ years hands-on experience with Hadoop data platform (MapReduce, Pig, Hive, HBase, Impala), experience working with Cloudera stack is preferred.
• 1+ years of experience with DevOps automation tools (AWS CloudFormation, Terraform)
• 1+ years of experience in developing, deploying and monitoring in building large distributed and parallel systems using container technology including Docker, Kubernetes, AWS EKS, AWD Fargate
• Lead by influence, mentor junior software engineers, ability to navigate to different teams and business to find solutions to complex problems
• Strong on critical thinking, great communication and team work skill is essential to this role
• High level of responsibility and Ownership from inception through to implementation
• The candidate should have a proactive approach to problem solving

, Data Management is part of the Chief Technology Office Organization (CTO) and plays a pivotal role in supporting all the Lines of Business and Corporate Functions with leading edge technology solutions in JPMorgan. Its core priority and focus are on enabling the firm to embrace, adopt and deliver real business value, at pace to enable AI/ML solutions driven by Global consumers whilst ensuring compliance to the Firmwide Data Policy for all the platforms modern or legacy.JPMC Advanced Data Enterprise (JADE) increases productivity and improves regulatory compliance by managing and governing data in a secure, scalable and frictionless manner. As a central technology organization, JADE aims to make industry standard capabilities accessible and flexible to internal clients and partners in support of effective and efficient data management and governance at JPMorgan Chase & Co.Why Join The data journey has never been more front and central to the Firm s success. From the Operating Committee of the Firm down the focus is on ensuring the Data Program achieves its goals for the Business. Not often programs of work come along with this level of focus to build products, leveraging the latest technology, be part of a global team and execute with full priority with required investment. You will be working on Big Data and Analytics products that enable a governed, centralized, curated and secured repository to expedite advanced analytics, AI/ML, and business analytics in the public cloud and on premises. Do you like to engineer large scale mission critical solutions that are Always On Do you like to contribute where cutting edge software development, global scale system architecture, Data and enterprise systems and tools intersect Are you curious about how things break, so that you can eliminate these failure modes Are you driven to eliminate toil by designing/adopting better tools and automation techniques If so, we would love to have you in our CTO Engineering team.Your experience in one or more technology domains will help solve complex and mission critical problems, internally and externally. As a constant learner and early adopter, you re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. In addition to creating solutions with your in-house team, you ll also work alongside our team of technologists from around the world who are just as dedicated as you are.Responsibilities shall include:

• Working with our LOB (line of business) users, collaborate with other technology teams to design, develop, test full stack cloud data solutions.
• Leading and be responsible for the craftsmanship, security, availability, resilience and scalability of your solution.
• Leading the innovation, perform proof of concept and the implementation of cutting-edge technologies
• Expert practitioner in one or more technology domains, may be a cross-domain expert able to solve complex and mission critical problems within a business or across the firm.
• Designs, analyzes, develops, tests, debugs and delivers software enhancements and/or new products.

This role requires a wide variety of strengths and capabilities, including:

• Bachelors/Master s degree in Engineering, Computer Science, or Information Technology or equivalent experience.
• 7+ years of experience in application development using any of these programming languages: Java,Spark, Scala. Experience working in financial industry is preferred.
• 1+ years of experience working with Amazon Web Services (AWS) including entitlement and IAM policy. AWS certification adds more value.
• 3+ years of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink)
• 2+ years experience working with data pipeline open source products (Ex Airflow, Jupyter, Anaconda etc)
• 3+ years hands-on experience with Hadoop data platform (MapReduce, Pig, Hive, HBase, Impala), experience working with Cloudera stack is preferred.
• 1+ years of experience with DevOps automation tools (AWS CloudFormation, Terraform)
• 1+ years of experience in developing, deploying and monitoring in building large distributed and parallel systems using container technology including Docker, Kubernetes, AWS EKS, AWD Fargate
• Lead by influence, mentor junior software engineers, ability to navigate to different teams and business to find solutions to complex problems
• Strong on critical thinking, great communication and team work skill is essential to this role
• High level of responsibility and Ownership from inception through to implementation
• The candidate should have a proactive approach to problem solving

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Keyskills :
big datajavascriptsmall businessjavasqldata managementamazon web servicesopen sourceweb servicescustomer relationsproof of conceptsql server