Remote data infrastructure engineer: build pipelines

Location : Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure. You will collaborate with cross-functional teams to deliver high-quality data solutions that support business insights and decision-making. Key Responsibilities: • Design, develop, and optimize data pipelines to extract, transform, and load large datasets. • Implement and maintain data warehouses and data lakes to support analytical and operational reporting. • Collaborate with data scientists and analysts to ensure data accessibility and integrity. • Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency. • Document data architecture, processes, and standards for team reference and compliance. Required Skills & Qualifications: • Proficiency in SQL and experience with relational and No SQL databases. • Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks. • Knowledge of data modeling and warehouse design principles. • Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure. • Strong problem-solving skills with attention to scalability and performance. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences. You will be part of a team that values technical excellence and innovation in data engineering. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. #J-18808-Ljbffr