Position
Skillset (Must have)
Skillset (Good to have)
Data Search
Engineer
• Bachelor degree in Computer Science, Computer
Engineering, or equivalent.
• At least 3 years of experience in search engineering and
information retrieval.
• Firm understanding of data modelling for search relevance.
• Familiar with information retrieval algorithms and an
understanding of lexical search engines.
• Familiar with building search engine algorithms to fine-tune
search relevancy.
• Proficient in one or more programming languages such as
Java, Python, or NodeJS.
• Proficient in using Unix-like operating systems and familiar
with Shell scripts/command line tools.
• Experience in building CI/CD pipelines.
• A good team player with strong analytical skills.
• Enjoy problem solving and delivering innovative ideas.
• Familiarity with ML
algorithms and semantic
search/vector databases.
• Familiarity with Tomcat
and Microsoft IIS.
• Understanding of
Kubernetes and Red Hat
OpenShift.
Data
• Strong understanding of data modelling concepts,
Architect/Mod techniques, and methodologies.
eler
• Proficiency in data modelling tools such as SqlDBM, ERwin,
and ER/Studio with experience in relational databases and
SQL.
• Knowledge of dimensional modelling and familiarity with
data warehousing concepts, data integration, and ETL/ELT
processes.
• Strong working knowledge in SQL, preferably in Snowflake.
• Strong working experience and understanding in business
process mapping to data flows and proposing optimization.
• Good documentation skills.
• Working experience with Cloud data platforms, preferably
Snowflake.
Data Analyst
• Able to perform metadata collection, design, onboarding,
(Internal Data quality control and cleansing across the entire metadata
- Metadata)
lifecycle.
• Experience in conducting requirement workshops with
stakeholders, analyze and translate business and other
requirements holistically into metadata collection strategies,
plans, and actions,
• Experience in designing and implementing scalable
metadata related processes and solutions to support the
growing demands from business users.
• Able to identify, analyze and resolve challenges faced by
business team in collecting and managing metadata.
• Hands-on experience in
Python.
• Financial services
experience in a data
governance or data
management role.
• Project management
experience.
• Experience with data
governance tools.
Data Analyst
• Able to perform metadata collection, design, onboarding,
(Market Data - quality control and cleansing across the entire metadata
Metadata)
lifecycle.
• Expertise related to market data.
• Experience in conducting requirement workshops with
stakeholders, analyze and translate business and other
requirements holistically into metadata collection strategies,
plans, and actions.
• Experience in designing and implementing scalable
metadata related processes and solutions to support the
growing demands from business users.
• Able to identify, analyze and resolve challenges faced by
business team in collecting and managing metadata.
• Financial services
experience in a data
governance or data
management role.
• Project management
experience.
• Experience with data
governance tools.
• Experience in working with
market data contracts from
data vendors (e.g.
Bloomberg, Factset, ICE,
MSCI, Refinitiv, etc.) and
capturing contract specific
information.