Job Location: Hyderฤbฤd
This role requires a wide variety of strengths and capabilities, including:
- BS/BA degree or equivalent experience
- Advanced understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices, and JPMorgan Chase & Co. policies
- Collaborates with multiple groups to implement business solutions
- Proficient in multiple infrastructure technologies
- Demonstrated ability to conceptualize, launch, and deliver multiple IT projects on time and within budget
- Ability to articulate to more experienced management a technical strategy in clear, concise, understandable terms
You will join IDM (Infrastructure Data Quality) team focused on transformation of data quality management within GTI (Global Technology Infrastructure) and contributing to the strategy and execution of IDaaP (Infrastructure Data as a product) initiatives.
You will get fantastic opportunity on creating innovative solutions that transform data as a service. You’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality products.
This role will be responsible for:
- Implementation of next gen technical architecture for data quality framework, to drive automation, scalability and advanced analytics
- Collaborating with cross functional teams on technical data quality requirements to align to the existing offerings and roadmap, identify the process improvements and propose data governance strategies
- Investigating data issues, identifying the anomalies and the root causes, and driving problems through to resolution.
- Preparing analysis reports and communicating with stakeholders and senior management
- Use Machine Learning algorithms for solving complex business problems while handling large amount of structured and unstructured data
Knowledge and Experience Required:
- 8+ years’ experience with data engineering lifecycle implementation from concept through implementation
- Strong knowledge and experience in data related activities (data quality, data governance, metadata, data management, data standards, data structures, data aggregation, and business requirement) is required.
- Strong SQL and relational database / data warehouse skills, data analysis experience is required
- Prior experience on data modelling, hands on experience on data integration/analysis tools (e.g., Alteryx ) ,data visualization tools (e.g., Tableau) is preferred
- Hands-on experience in at least one programming languages, preferably Python
- Familiarity with algorithms on anomaly detection, pattern analysis or big data frameworks such as Hadoop/Spark is a bonus
- Analytical and problem solving skills
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
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