JPMorgan Data Engineer – Associate Payment Operations 

India, Maharashtra, Mumbai 

603557056

As a Data Engineer – Associate Payment Operations within the Payments Operations organization, you will be responsible for providing data architecture leadership and strategy, and solutions data engineering use cases focused on data analytics, metrics and insights across Payments Operations. This role is ideal for a highly motivated team member with a strong passion for data, problem solving, and domain knowledge as well as strong interpersonal and communication skills.

Job Responsibilities:

• Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs for Payments Operations.
• Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls.
• Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models.
• Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, SAS, or Scala.
• Conduct business process analysis and identify data needed to support the processes. Determine whether the requested data is fit for use within a given process.
• Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm.
• Work with Tech, Product and CIB data partners to research, define, and implement use cases
• Work closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop / foster new ideas

Required qualifications, capabilities and skills:

• 3+ years of relevant work experience as a software developer, data/ML engineer, data scientist, business intelligence engineer
• Minimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subject
• Analytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiences
• Experience or knowledge in at least one data technology; i.e., data warehousing, ETL, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning, etc.
• Experience using common relational database systems; i.e., Teradata and Oracle with strong SQL skills
• Cloud platform knowledge; hands on experience with Databricks or Snowflake
• Hands-on experience with data modeling
• Knowledge of the SQL, SAS or Scala, and Python languages
• Knowledge of Advanced Statistics
• Domain Expertise