Data Transformation and Automation- Senior Associate Job in Bangalore at JPMorgan Chase & Co.

JPMorgan Chase is hiring for the role of Data Transformation and Automation - Senior Associate!

Responsibilities of the Candidate: 

• Effectively partner, collaborate, and communicate across lines of business, functional groups, stakeholders, analytics, controls and technology;
• Develop strategic data solutions across disparate product domains, platforms and technologies;
• Apply data controls, security and operational monitoring in solutions development;
• Build trusted relationships in a matrixed environment;
• Solve problems - have tenacity in finding answers, problem structuring, and having a point of view;
• Remain flexible and adaptable to change ;
• Take direction well but also able to work with limited supervision;
• Have a passion for data and analytics, and how this information can be used to drive business innovation.
• Migrate Small Business Data to Public Cloud (AWS and Snowflake)
• Partner with Data Owners and D&A Leads to understand data roadmap that support analytics needs;
• Support data integration projects with external data providers into our systems;

Requirements:

• 3+ years of analytics, business intelligence, data warehouse, data architecture, or data governance experience
• Master’s or Bachelor's degree in related field (e.g. Data Analytics, Computer Science, Math/Statistics or Engineering) with 3+ years’ experience in related discipline
• Demonstrated understanding in programming languages such as: SQL, SAS, Python, Spark, Java or Scala
• Experience building relational data models in multiple technology platforms (Teradata, Oracle, Hadoop or Cloud e.g. AWS, GCP, or Azure) 
• Hands-on experience in researching, testing and developing automated data processes including building a common framework to drive consistency and coding best practices
• Excellent documentation and communication skills both written and verbal
• Excellent time management, multi-tasking and prioritization skills including ability to self-manage
• Experience with internal controls and compliance with regulatory and contractual obligations
• Experience working with data visualization and presentation tools
• Knowledge of how to appropriate classify risk of data to tag for access management