Customer Data Engineer

Are you a skilled data engineer with a keen eye for detail and a passion for ensuring data accuracy and integrity Do you thrive in a fast-paced, collaborative environment where your contributions have a direct impact on customer insights Join our team as a Customer Data Engineer and play a pivotal role in building robust data pipelines, supporting customer data needs, and ensuring high data quality across our rapidly growing organization. This role is perfect for a data engineer who is passionate about data, eager to learn about the knowledge related to the data, takes ownership of the data to ensure that internal & external customers get the most accurate and insightful data to drive business decisions. Build, monitor, and optimize complex data pipelines to ensure data accuracy, consistency, and readiness for analytics and customer sharing. Collaborate with customers & internal team, understanding their data needs for analytics and data science models. Take ownership of data quality, actively resolving data issues and ensuring data integrity for end-users and customers. Document and refine data workflows, always aiming to enhance processes and quality standards for customer data solutions. Data Pipeline Development - Design and maintain data pipelines with compatibility for analytics, BI reporting and ML models, ensuring data readiness for advanced analytics. Advanced SQL Querying & Data Transformation - Write, optimize, and maintain complex SQL queries for data extraction, transformation, and analysis to extract raw data from multiple sources. Data Quality Assurance & Ownership - Actively monitor data flows, troubleshoot issues, and resolve inconsistencies, ensuring reliable, high-quality data for customer insights. Documentation & Continuous Improvement - Document, refine, and innovate data workflows, prioritizing consistency, efficiency, and customer data quality. Cross-functional Collaboration & Communication - Work with data scientists, analysts, and engineers to support various ad hoc as well as long term data requirements and ensure seamless data integration. Strong communication to explain and present the data as well as backend logic/flow to both technical and non-technical audiences. Engineering in Computer Science, Data Science, or relevant technical field or equivalent. 3-5 years of experience primarily working with data in analytics engineering, data engineering. Strong proficiency in SQL and experience in data transformation and optimization. Python experts on building pipeline automation, logging, and debugging. Strong Database Knowledge of data modeling, schema design, and performance tuning. Experience with data pipeline and ETL tools (e.g., Airflow, Prefect). Experience with cloud data solutions (e.g., AWS, Azure, Google Cloud). Familiarity with Business intelligence tools (e.g., PowerBI, Tableau, Streamlit/Plotly) for data presentation. Familiarity with data science and machine learning principles and workflows. Aviation, Maritime domain exposure, and business knowledge. Connectivity and content engineering and business knowledge. Opportunity to work in cross-functional teams. Competitive health benefits that start on day one. Generous paid time off policy. Performance-based bonus. Opportunity to work across teams and organizations. Quvia will never ask to interview job applicants via text message or ask for personal banking information as part of the interview process. Quvia will never ask job applicants or new hires to send money or deposit checks for the company.,