Data Engineer
Bank of America (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
Reach people at Bank of America
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Bank of America you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and prototyping of risk data management and reporting platforms for Global Risk Management.
- Perform data analysis, profiling, data quality assessments, and develop automated reporting and dashboards using advanced data technologies.
- Research and implement innovative data tools and integrate solutions via APIs for disparate risk line of business platforms.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or Analytics required; Master’s degree holders require 3+ years experience, otherwise 5+ years experience in data platform/solutions and data management architecture.
- Proven expertise in data management, governance, and reporting platforms with hands-on experience in Python, Spark, Airflow, Java Springboot, JavaScript, and SQL.
- Strong experience with relational and NoSQL databases, big data environments, API design (including GraphQL), and developing prototypes/POCs.
- Location: Hyderabad; Work Experience: Minimum 3 to 5 years as explicitly mentioned; Notice period: Not explicitly mentioned.
Ideal Candidate Profile
- Experienced in building and maintaining complex data platforms involving data catalog, lineage, data quality, and feature stores within risk management or financial domain.
- Capable of delivering end-to-end data solutions including system integration through APIs and familiar with microservices architecture.
- Skilled in innovative data technologies including graph databases, big data storage formats, and automated data reporting, with a focus on operationalizing prototypes quickly.