--- Project Description ---
We are looking for a technical expert to build data workflows, validate
financial data, and enforce data quality. Candidate will actively engineer
data solutions, automate manual reporting, and query complex
datasets to support the Insurance and Technology divisions.
--- Day-to-Day Tasks ---
1. Translate complex business requirements from Insurance
stakeholders into technical specifications for data pipelines and
automated workflows.
2. Build and maintain data warehousing workflows and data pipelines
using SQL and cloud database tools.
3. Compile, compute, and validate insurance financial data using
advanced statistical formulas and model calculations.
4. Elaborate high-level policies and business needs into technical
requirements (user stories/system use cases) to guide platform
implementation.
5. Execute data profiling, build exception reports, and manage
metadata/lineage using governance platforms.
6. Use technical expertise (Python/VBA/R) to automate data ingestion
and reporting processes.
IT Specialist
Works in the field of Information Technology, experienced in the usage and support of a collection of development platforms, technical architectures or business applications and products that run on those platforms - beyond that of a Programmer.
Expert
84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.
• 48 Months of Experience in Building and Maintaining Data Workflows and
data pipelines using database tools, specifically translating business
requirements into technical specifications.
• 36 Months of Experience in Automating Data Ingestion and Reporting using
programming languages such as Python, R, or Excel VBA.
• 36 Months of Experience in Data Visualization utilizing PowerBI or Tableau.
• 24 Months of Experience in cloud-based data platforms, preferably
Snowflake.
• 12 Months of Experience with MDM and Cataloging Platforms (e.g.,
Informatica, Collibra, Alation) to execute data profiling and manage
metadata/lineage.
• 84 Months of experience in Data Engineering, Architecture, Data Governance,
or Data Quality Assurance for Financial Reporting.
• 84 Months of Experience in SQL and Relational Database Management
Systems (RDBMS), including querying complex datasets.
• 84 Months of Experience in Compiling, Computing, and Validating Financial
Data using advanced statistical formulas and model calculations.
• Bachelor''s Degree in a quantitative discipline (Computer Science, Statistics,
Finance, or related field).
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