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// POSTED: May 3, 2026

ETL Consultant

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<div class="benefits"> <div><strong>Benefits:</strong></div> <ul> <li>Competitive salary</li> </ul> </div> <div class="trix-content"> <div> <strong>Location:</strong> Remote <br> <strong>Experience Level:</strong> 6 - 7+ years</div><div> </div><div><strong>Role Overview</strong></div><div>We are looking for a seasoned Data Analyst / Data SDET hybrid professional to support cloud-based data initiatives. This role blends data analysis, SQL development, ETL validation, and data quality engineering, making it ideal for someone who enjoys working hands-on with data while ensuring accuracy and reliability across analytics platforms.</div><div>You will join a growing agile team focused on data enablement and data mart development, collaborating closely with business and technical stakeholders to support analytics and reporting needs.</div><div> </div><div><strong>Key Responsibilities</strong></div><div><strong>Data Analysis & SQL</strong></div><ul> <li>Develop, optimize, and maintain complex SQL queries for data extraction and validation</li> <li>Perform detailed data analysis to identify trends, anomalies, and quality issues</li> <li>Work with large-scale datasets in cloud-based data platforms</li> </ul><div><strong>ETL Validation & Data Quality</strong></div><ul> <li>Validate data transformations and workflows across ETL pipelines</li> <li>Perform reconciliation, completeness checks, and data integrity validations</li> <li>Ensure consistency and accuracy across data marts and reporting layers</li> </ul><div><strong>Automation & Workflow Enablement</strong></div><ul> <li>Support and enhance data workflows orchestrated through Apache Airflow</li> <li>Contribute to automation of data validation and testing processes</li> <li>Partner with engineering teams to strengthen data quality and testing practices</li> </ul><div><strong>Collaboration & Delivery</strong></div><ul> <li>Work closely with business stakeholders to understand data requirements</li> <li>Participate in agile ceremonies and cross-functional collaboration</li> <li>Coordinate effectively with distributed teams</li> </ul><div><strong>Required Qualifications</strong></div><ul> <li>6–7+ years of experience in data-centric roles such as: <ul> <li>Data Analyst</li> <li>Analytics Engineer</li> <li>Data QA or Data SDET</li> </ul> </li> <li>Advanced SQL expertise (critical requirement)</li> <li>Strong background in data analysis and validation methodologies</li> <li>Hands-on experience with: <ul> <li>Google Cloud Platform (GCP) and BigQuery </li> <li>ETL processes and data pipeline testing </li> <li>Apache Airflow</li> </ul> </li> </ul><div><strong>Preferred Qualifications</strong></div><ul> <li>Experience working with insurance or claims-related data</li> <li>Familiarity with Informatica Intelligent Cloud Services (IICS / IAC)</li> <li>Background in hybrid roles combining analytics and data testing/QA</li> </ul><div><strong>Core Skills & Attributes</strong></div><ul> <li>Strong analytical and troubleshooting abilities</li> <li>Ability to interpret complex datasets and identify data issues quickly</li> <li>Clear communication with both technical teams and business users</li> <li>Adaptability in a fast-paced, evolving data environment</li> </ul> </div> <p>This is a remote position.</p>
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