Urbane Systems
Design, build, and maintain
ETL pipelines
using AWS Glue, Python, and SQL to support data preparation, transformation, and analytics. Collaborate with Finance and Accounting teams to understand business requirements, financial processes, and reporting needs. Integrate and manage data from
ERP systems (e.g., NetSuite)
and other financial applications. Develop scalable data models, data mappings, and automation frameworks for financial datasets. Optimize existing pipelines and SQL scripts for performance, reliability, and cost efficiency. Work with cloud platforms (AWS preferred) to implement secure, scalable, and high-quality data architectures. Ensure data quality, validation, and reconciliation across financial systems and reporting platforms. Troubleshoot and resolve issues related to data workflows, ETL jobs, and system integrations. Document data processes, workflows, and engineering standards.
Required Skills & Qualifications
Strong experience with
SQL
(complex queries, performance tuning, stored procedures). Hands-on expertise in
Python
for scripting, automation, and data engineering tasks. Experience designing and developing
ETL pipelines , preferably using
AWS Glue , PySpark, or SQL-based tools. Knowledge of
Finance and Accounting processes , financial datasets, and reporting structures. Experience working with
ERP platforms such as NetSuite , including data extraction and integration. Proficiency with
cloud technologies
(AWS preferred; Azure/GCP acceptable). Strong understanding of data modeling, data warehousing concepts, and metadata management. Excellent analytical, problem-solving, and communication skills.
Seniority level Mid-Senior level
Employment type Contract
Job function Staffing and Recruiting
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ETL pipelines
using AWS Glue, Python, and SQL to support data preparation, transformation, and analytics. Collaborate with Finance and Accounting teams to understand business requirements, financial processes, and reporting needs. Integrate and manage data from
ERP systems (e.g., NetSuite)
and other financial applications. Develop scalable data models, data mappings, and automation frameworks for financial datasets. Optimize existing pipelines and SQL scripts for performance, reliability, and cost efficiency. Work with cloud platforms (AWS preferred) to implement secure, scalable, and high-quality data architectures. Ensure data quality, validation, and reconciliation across financial systems and reporting platforms. Troubleshoot and resolve issues related to data workflows, ETL jobs, and system integrations. Document data processes, workflows, and engineering standards.
Required Skills & Qualifications
Strong experience with
SQL
(complex queries, performance tuning, stored procedures). Hands-on expertise in
Python
for scripting, automation, and data engineering tasks. Experience designing and developing
ETL pipelines , preferably using
AWS Glue , PySpark, or SQL-based tools. Knowledge of
Finance and Accounting processes , financial datasets, and reporting structures. Experience working with
ERP platforms such as NetSuite , including data extraction and integration. Proficiency with
cloud technologies
(AWS preferred; Azure/GCP acceptable). Strong understanding of data modeling, data warehousing concepts, and metadata management. Excellent analytical, problem-solving, and communication skills.
Seniority level Mid-Senior level
Employment type Contract
Job function Staffing and Recruiting
#J-18808-Ljbffr