ETL Consultant

Remote Full-time
Benefits: Competitive salary Location: Remote Experience Level: 6 - 7+ years Role Overview 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. 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. Key Responsibilities Data Analysis & SQL Develop, optimize, and maintain complex SQL queries for data extraction and validation Perform detailed data analysis to identify trends, anomalies, and quality issues Work with large-scale datasets in cloud-based data platforms ETL Validation & Data Quality Validate data transformations and workflows across ETL pipelines Perform reconciliation, completeness checks, and data integrity validations Ensure consistency and accuracy across data marts and reporting layers Automation & Workflow Enablement Support and enhance data workflows orchestrated through Apache Airflow Contribute to automation of data validation and testing processes Partner with engineering teams to strengthen data quality and testing practices Collaboration & Delivery Work closely with business stakeholders to understand data requirements Participate in agile ceremonies and cross-functional collaboration Coordinate effectively with distributed teams Required Qualifications 6–7+ years of experience in data-centric roles such as: Data Analyst Analytics Engineer Data QA or Data SDET Advanced SQL expertise (critical requirement) Strong background in data analysis and validation methodologies Hands-on experience with: Google Cloud Platform (GCP) and BigQuery ETL processes and data pipeline testing Apache Airflow Preferred Qualifications Experience working with insurance or claims-related data Familiarity with Informatica Intelligent Cloud Services (IICS / IAC) Background in hybrid roles combining analytics and data testing/QA Core Skills & Attributes Strong analytical and troubleshooting abilities Ability to interpret complex datasets and identify data issues quickly Clear communication with both technical teams and business users Adaptability in a fast-paced, evolving data environment This is a remote position.
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