What are the responsibilities and job description for the Data Analyst (Financal Services) position at Ness Digital Engineering?
Description
Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun. We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results. WORK TO BE PERFORMED :
- Develop Metadata and Data Lineage Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL / BI Tools and other Data Platform technologies etc.
- Work with Technical SMEs / developers understanding the applications / systems design, development and create data flow diagrams / data mappings.
- Create Source to Target mapping documents reverse engineering the application Java code / BI tools / SQL queries for the identified data flows.
- Develop custom metadata connectors / scanners using programming tools to automate the metadata extraction from disparate data sources.
- Develop solutions developing programs to automate metadata extraction and data flow / data lineage / Source to target mapping documents for complex applications / systems / BI tools.
- Working on metadata management, administration, support and ingest data management assets using extension mappings, custom data assets, metadata bridges, connectors, third party metadata bridges ensuring data lineage / source to target data mapping.
- Create, develop, configure and execute end to end business and technical data lineage across disparate sources in accordance with the Data Governance Standards, Policies and Procedures.
- Design and build data capabilities like data quality, metadata, data catalog and data dictionary.
SKILL AND EXPERIENCE REQUIRED :
Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
