Role Description

We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain reliable data systems that support data-driven decision-making and business intelligence initiatives. This role is responsible for building efficient data pipelines, managing data infrastructure, improving data accessibility, and ensuring the quality, security, and reliability of organizational data assets.

The Data Engineer will collaborate with data analysts, data scientists, software engineers, business stakeholders, and technology teams to understand data requirements and develop scalable solutions. Responsibilities include designing data workflows, developing data processing systems, integrating data from multiple sources, and ensuring data is structured, organized, and available for analytical and operational use.

The role involves building and maintaining data pipelines, performing data extraction, transformation, and loading (ETL/ELT) processes, optimizing database performance, and supporting data warehouse development.



The Data Engineer will work with structured and unstructured data sources, implement data quality checks, monitor data processes, and improve the efficiency and reliability of data platforms.

Additional responsibilities include designing database schemas, developing data models, automating data workflows, supporting cloud-based data solutions, maintaining technical documentation, and improving data governance practices. The position will contribute to data architecture improvements by evaluating technologies, optimizing system performance, and implementing solutions that enhance data availability and usability.

The Data Engineer will support business intelligence and analytics initiatives by ensuring accurate, timely, and accessible data for reporting, dashboards, and advanced analytics. This role requires strong programming skills, analytical thinking, problem-solving abilities, and the ability to transform complex data challenge

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