Source description
About the role
Design, develop, and maintain scalable data pipelines for processing large volumes of structured and unstructured data. • Implement and optimize ETL workflows to support analytics and reporting requirements. • Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver relevant solutions. • Manage and monitor data infrastructure, ensuring high availability, security, and performance. • Integrate data from multiple sources, including databases, APIs, and external platforms. • Utilize Big Data tools such as Hadoop and Spark for distributed data processing. • Develop and maintain SQL queries, stored procedures, and data models. • Work with cloud platforms (AWS, Azure, GCP) to deploy and scale data solutions. • Ensure data quality and consistency through validation and cleansing techniques. • Document data flows, architecture, and operational procedures.
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