Data Analyst (Financal Services)

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.comWe 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: 

• 6 or more years of data analysis experience with robust understanding of metadata, data flows and mappings.
• Ability to understand the Java Code base; read and/or write code using a programming language (e.g., Java, Python, etc.).  Proficient with SQL and experience working with Git and experience with data analysis using Python/ Pyspark.
• Hands-on experience with Java version 8 onwards, Spring, SpringBoot, Microservices, REST API, Kafka Streams.
• Experience working with various types of databases like Relational, NoSQL, Object-based.
• Ability to review the application development code to ensure it meets functional requirements, architectural and data standards.
• Proficiency in writing technical documentation for Java based applications that process data in real time and batch.
• Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc.
• Experience working on Protobuf, APIs, Kafka as Data Sources is preferred.
• Experience working with draw.io or other tools creating architecture or data flow diagrams.
• Ability to multitask and meet aggressive deadlines efficiently and effectively.
• Experience in object-oriented design and software design patterns.
• Financial Services Experience is a Big Plus

 

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.