Customer Data Engineer

3 - 7 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As a Customer Data Engineer at our rapidly growing organization, your role is crucial in ensuring data accuracy, consistency, and integrity for customer insights. You will be responsible for building robust data pipelines, supporting customer data needs, and driving high data quality standards. Your passion for data and eagerness to learn will be key in delivering accurate and insightful data to drive business decisions effectively. **Key Responsibilities:** - **Data Pipeline Development**: Design and maintain data pipelines for analytics, BI reporting, and ML models, ensuring data readiness for advanced analytics. - **Advanced SQL Querying & Data Transformation**: Write and optimize complex SQL queries for data extraction, transformation, and analysis from multiple sources. - **Data Quality Assurance & Ownership**: Actively monitor data flows, troubleshoot issues, and ensure reliable, high-quality data for customer insights. - **Documentation & Continuous Improvement**: Document and refine data workflows to enhance processes and quality standards for customer data solutions. - **Cross-functional Collaboration & Communication**: Collaborate with data scientists, analysts, and engineers to support various data requirements and ensure seamless data integration. **Qualifications Required:** - Engineering degree in Computer Science, Data Science, or a relevant technical field. - 3-5 years of experience in analytics engineering or data engineering. - Strong proficiency in SQL, data transformation, and optimization. - Expertise in Python for building pipeline automation, logging, and debugging. - Knowledge of data modeling, schema design, and performance tuning. - Experience with data pipeline and ETL tools (e.g., Airflow, Prefect). - Familiarity with cloud data solutions (e.g., AWS, Azure, Google Cloud). - Exposure to Business intelligence tools (e.g., PowerBI, Tableau, Streamlit/Plotly) for data presentation. - Understanding of data science and machine learning principles and workflows. Joining our team also offers exposure to the Aviation and Maritime domains, connectivity, and content engineering, along with opportunities to work in cross-functional teams. We provide competitive health benefits, generous paid time off, performance-based bonuses, and the chance to collaborate across various teams and organizations.,

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