IT Specialist - Data Warehouse, ETL Optimization, Python

Nys Dfs•New York, NY

2d•Hybrid

About The Position

Client is undertaking a significant modernization of its enterprise data environment, including the migration of critical data processing workflows to Snowflake and Informatica, and the expansion of business intelligence capabilities through Tableau. This role will guide, design, and optimize data processes for the R&I Division, mainly working with the VC and LPTC Bureaus, but also by supporting broader R&I Data Steward initiatives. The technical leadership provided by this position will strengthen the organization’s ability to leverage data as a strategic asset while ensuring scalability and long-term sustainability of its data infrastructure.

Requirements

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 Business Intelligence software, preferably Tableau.
24 Months of Experience in cloud based data platforms, preferably Snowflake.
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).

Responsibilities

Guide the migration of enterprise data processing and ETL workflows to Snowflake and Informatica platforms.
Design, implement, and maintain scalable data warehouse workflows.
Develop and optimize ETL/ELT processes to improve data integration, performance, and reliability.
Perform data validation, reconciliation, and quality assurance to ensure the accuracy, completeness, and integrity of enterprise data.
Establish, implement, and monitor data governance standards, data quality controls, and compliance with organizational policies and regulatory requirements.
Develop automation solutions and reusable data processing tools using Python, R, and VBA to improve operational efficiency and reduce manual effort.
Design, develop, and maintain complex scripts, stored procedures, and workflows supporting enterprise reporting and analytics.
Analyze, troubleshoot, and resolve complex data integration, transformation, and performance issues across multiple systems.
Collaborate with business and technology teams to translate business requirements into technical solutions, and to understand Client’s cloud data architecture, data integration strategies, and best practices.
Develop and maintain technical documentation, including data flow diagrams, process documentation, data dictionaries, and system specifications.
Evaluate emerging technologies and recommend enhancements that improve the organization’s data management capabilities, security, scalability, and operational efficiency.
Creates and maintains interactive Tableau dashboards for scalability, manageability, extensibility, performance, and re-use.
Works with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
Supports the R&I Data Steward in administering the data stewardship program and coordination with various data users and data owners.