Design and develop data transformation services and data flows using Python and PySpark, providing technical leadership while contributing hands-on to coding
Translate complex business requirements into technical specifications and implement robust, scalable solutions
Architect and oversee end-to-end applications that integrate data from multiple domains and systems
Drive collaborate with the Engineering Lead and other engineers to align design decisions within the product area and target architecture
Break down complex work into manageable tasks, estimate timelines, and plan delivery
Implement software engineering practices to ensure quality, performance, and maintainability of applications
Drive high levels of test automation and apply test-driven development practices
Guide and mentor through peer code reviews and mentor junior colleagues to support their professional development
Present and communicate ideas and designs to stakeholders for review and brainstorming
Build sustainable relationships with key business and IT stakeholders to become a trusted partner
Support operations during quarterly closing cycles

Requirements

Bachelor's or Master's degree in a relevant quantitative field (Computer Science, Mathematics, Engineering, or equivalent)
8+ years of experience designing and implementing reliable, scalable software through the full development lifecycle using modern IDEs, code management, and automation tools
Strong proficiency in Python, PySpark, and SQL with the ability to guide others
Extensive experience with Spark-based data lake technologies, including Azure Databricks, Azure Data Factory, and Azure Data Lake
Successfully delivered back-end business applications in an enterprise environment
Expertise working with relational databases such as Oracle and Postgres
Experience with integration technologies like REST and SOAP APIs
Strong understanding of software engineering techniques and commitment to quality and timely delivery
Excellent interpersonal, written, and verbal communication skills, including the ability to articulate technical topics to non-technical audiences
A desire to continuously upskill and stay relevant with emerging technologies

Benefits

Attractive performance-based variable compensation
Global and location specific benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonPySparkSQLSpark-based data lake technologiesAzure DatabricksAzure Data FactoryAzure Data LakeREST APIsSOAP APIsrelational databases

Soft skills

technical leadershipcommunication skillsmentoringcollaborationproblem-solvinginterpersonal skillstime managementpresentation skillsstakeholder managementteamwork

Certifications

Bachelor's degreeMaster's degree