Introduction
Enterprise Finance Technology’s GWD Technology team is working on and implementing innovative solutions to improve forecasting processes and support operational excellence. This role will be responsible for working closely with the technical leads and Product Owners to deliver & support data, analytics, and reporting functionalities in the GWD platform. The right candidate will be responsible for hands-on application development to support the current and target process across the SDLC – design, build, test, deploy & support.
Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered)
- Significant 10-12 years of experience in Oracle SQL programming and development.
- Deep understanding of PySpark development principles, including RDDs, DataFrames, transformations, and actions, with the ability to write optimized, scalable Spark jobs.
- Hands-on experience leveraging AI development tools such as GitHub Copilot to accelerate database development, SQL coding, query optimization, code reviews, troubleshooting, and developer productivity, with appropriate validation of AI-generated outputs.
- Experience designing and implementing data pipelines using PySpark and related big data tools, ensuring efficient ingestion, processing, and delivery of large datasets.
- Prior work experience at client or in client's Industry.
Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications (Nice-to-have skills but are not required)
- Experience in deep data analysis, triaging, identifying data gaps, patterns, and behaviors to support enhancements and user requests.
- Experience working with large data sets (~100 million records) and optimizing performance for scalability.
- Ability to lead migration of legacy database modules over to big-data stack.
Day-to-Day Responsibilities (key tasks and expectations for the role)
- Leads data-centric projects with an end-to-end ownership mindset, combining hands-on database development with project planning, team coordination, technical design, code reviews, and delivery accountability.
- Demonstrates a strong user-centric approach, proactively managing stakeholder expectations, clarifying business requirements, communicating progress and risks, and ensuring database solutions align with user needs and business priorities.
- Ensure data integrity, security, and performance in modernized database environments.