KIS Solutions
KIS Solutions is a technology consulting company based in the United States and Brazil, specializing in delivering software systems that solve complex business problems. With a focus on improving human experiences through technology, KIS provides customized tech solutions for businesses of all sizes, from Fortune 500 companies to startups. They leverage data management, machine learning, and user-focused design to create effective and efficient systems that enhance productivity and business value.
Data Engineer
February 12
KIS Solutions
KIS Solutions is a technology consulting company based in the United States and Brazil, specializing in delivering software systems that solve complex business problems. With a focus on improving human experiences through technology, KIS provides customized tech solutions for businesses of all sizes, from Fortune 500 companies to startups. They leverage data management, machine learning, and user-focused design to create effective and efficient systems that enhance productivity and business value.
📋 Description
• This is a remote position. • We are looking for Data Engineers (Junior, Mid or Senior)! • At KIS, we are always looking for talented individuals to join our team for future opportunities. • If you are a Data Engineer and interested in working on innovative projects with one of our global clients, sign up for our Talent Pool! • Main Responsibilities: • Design, develop , and maintain data ingestion pipelines using ETL processes. • Implement data models and database schemas to ensure efficient and optimized storage of data. • Write SQL queries to extract , transform , and load data from various sources . • Collaborate with cross-functional teams to gather data requirements and provide data- driven solutions. • Perform data analysis and validation to ensure data quality and integrity. • Develop and maintain data integration workflows and automate data processes. • Monitor and optimize data pipelines for performance and scalability. • Implement data governance and security practices to ensure data privacy and compliance.
🎯 Requirements
• Professional experience with Java Spring Boot in data engineering projects • Professional experience with SQL • Experience with Azure, Databricks and Datalake • Experience with Kubernetes • Experience with GIT • Professional experience operating data pipelines, including data quality process and error handling • Advanced English • Ability to work as a team • High adaptability and problem-solving
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