<p>We are seeking an experienced Python Data Engineer to join our growing data team. This role will focus on building and supporting scalable data solutions that ingest, process, and deliver real-time and near real-time data across the organization. The ideal candidate will have experience working in financial services, energy, or oil &amp; gas environments, where timely, accurate data is critical to business operations and decision-making.</p><p>You will partner closely with business leaders, analysts, data scientists, and application teams to develop robust data pipelines, integrate external and internal data sources, and enhance enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable Python-based ETL and data integration solutions.</li><li>Build reusable data acquisition components to consume APIs, market feeds, operational systems, IoT devices, and third-party data sources.</li><li>Develop and support real-time and near real-time data pipelines for business-critical reporting and analytics.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Enhance and maintain enterprise data engineering frameworks and standards.</li><li>Ensure data quality, reliability, performance, and governance across the data ecosystem.</li><li>Support Oracle databases, PL/SQL development, and data warehouse integrations.</li><li>Partner with global teams to deliver high-quality data solutions and support ongoing business initiatives.</li><li>Participate in architecture discussions and contribute to best practices around data engineering and software development.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience in financial services, banking, asset management, energy, commodities, or oil &amp; gas industries.</li><li>Experience supporting operational, market, production, pricing, risk, or financial data platforms.</li><li>Knowledge of cloud-based data platforms and modern data architecture.</li><li>Experience with data warehousing, data lakes, and enterprise reporting solutions.</li></ul><p>Technical Environment</p><p>Python, Oracle, PL/SQL, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, ETL, Data Pipelines, Real-Time Data Processing, Data Warehousing, Git, Agile, Cloud Technologies</p><p>Ideal Candidate: A hands-on Data Engineer with strong Python development skills, experience working with real-time business data, and a background supporting data platforms in financial services, energy, or oil &amp; gas organizations.</p><p><br></p>

<p>Required Qualifications</p><ul><li>Bachelor&#39;s degree in Computer Science, MIS, Engineering, or a related technical field.</li><li>6+ years of professional Python development experience in enterprise environments.</li><li>Strong experience building and maintaining ETL processes and data pipelines.</li><li>Experience handling real-time or high-volume data processing environments.</li><li>Advanced Python skills including Pandas, NumPy, and related data libraries.</li><li>Experience with web scraping and data collection tools such as Requests, BeautifulSoup, and Selenium.</li><li>Strong Oracle and PL/SQL experience, including stored procedures and performance optimization.</li><li>Solid understanding of object-oriented programming, design patterns, and service-oriented architectures.</li><li>Experience with Git, Agile/Scrum methodologies, and modern software development practices.</li><li>Excellent communication and stakeholder management skills.</li></ul><p><br></p>

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