<p>Join a growing data engineering team supporting mission-critical analytics and business operations within the <strong>energy, commodities trading, oil &amp; gas, or financial services sector</strong>. This role is focused on designing and supporting cloud-based data solutions using <strong>Python, Snowflake, and AWS</strong>, enabling scalable, reliable, and high-performance data platforms.</p><p>You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable <strong>Python-based data pipelines</strong> that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within <strong>Snowflake</strong>, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul><p><br></p><p><br></p><p><br></p>

<p>Required Qualifications</p><ul><li>3+ years of hands-on experience as a <strong>Data Engineer</strong> building and supporting production data pipelines.</li><li>Strong development experience with <strong>Python</strong>, including Pandas and related data-processing frameworks.</li><li>Advanced SQL skills with experience in query optimization, data modeling, and performance tuning.</li><li>Experience designing and supporting solutions within <strong>Snowflake</strong> or a comparable cloud data warehouse.</li><li>Hands-on experience with <strong>AWS</strong> services supporting data platforms and analytics environments.</li><li>Background building and maintaining ETL/ELT processes in a cloud ecosystem.</li><li>Experience with workflow orchestration tools such as:</li><li>Prefect</li><li>Airflow</li><li>Dagster</li><li>Strong understanding of data engineering fundamentals, software development best practices, version control, testing, and CI/CD.</li><li>Experience implementing monitoring, alerting, and operational support processes for production systems.</li><li>Excellent communication skills with the ability to partner directly with business stakeholders.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience with <strong>dbt</strong> for data transformation and modeling.</li><li>Exposure to Kafka, Redis, Oracle, Databricks, or similar enterprise data technologies.</li><li>Experience with Docker, Terraform, FastAPI, or cloud-native application development.</li><li>Background supporting enterprise analytics, market data, risk management, trading, supply chain, or operational reporting platforms.</li></ul><p><br></p>

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