uSquad provides a platform for companies to hire skilled data engineers remotely. Our hand-picked talent pool consists of expert developers from around the world, who have been sourced, vetted, and matched to meet your specific needs. With uSquad, you can quickly spin up your dream engineering team and enjoy the benefits of hassle-free management, leaving you free to focus on your core business.
Software Engineer and Solutions Architect with 10+ years in Data Engineering. Skilled in designing and implementing data integration and warehousing solutions. Passionate about functional programming and large-scale distributed systems. Expertise in Big Data, Data Warehousing, ETL processes, and technical consulting. Led projects for creating data pipeline frameworks and worked closely with data scientists to develop pipelines.
Jose has over 6 years of experience building distributed data pipelines for collecting, cleaning, and aggregating large amounts of data. He Has made petabytes of data usable and is passionate about building low-latency and fault-tolerant pipelines. During his career, Jose architected infrastructure, developed streaming pipelines, and significantly optimized performance and costs caused by data usage.
Results-oriented data engineer with a focus on the product's design and implementation of efficient solutions. Experience with Hadoop environment, ETL-pipelines and Data Marts development. Advanced knowledge in SQL, distributed computing systems, and development principles.
Software Engineer and Solutions Architect with 10+ years in Data Engineering. Skilled in designing and implementing data integration and warehousing solutions. Passionate about functional programming and large-scale distributed systems. Expertise in Big Data, Data Warehousing, ETL processes, and technical consulting. Led projects for creating data pipeline frameworks and worked closely with data scientists to develop pipelines.
Jose has over 6 years of experience building distributed data pipelines for collecting, cleaning, and aggregating large amounts of data. He Has made petabytes of data usable and is passionate about building low-latency and fault-tolerant pipelines. During his career, Jose architected infrastructure, developed streaming pipelines, and significantly optimized performance and costs caused by data usage.
Results-oriented data engineer with a focus on the product's design and implementation of efficient solutions. Experience with Hadoop environment, ETL-pipelines and Data Marts development. Advanced knowledge in SQL, distributed computing systems, and development principles.
Juan is a seasoned developer with a specialization in data extraction, transformation, and loading for analytical applications, with a primary focus on Scala. With a wealth of experience in Python and data warehousing development and support, Juan's technical proficiency is matched by expertise in system design, task decomposition, and mentoring junior team members. His strong coding abilities complement a comprehensive skill set that is poised to deliver exceptional results in a professional setting.
Experienced data engineer with expertise in centralising data from multiple bank systems into a single warehouse and integrating it with SAP BO. Skilled in designing scalable centralised storage, loading data into Hadoop, and building unified datamart using Apache Spark and Impala. Developed data generator for load testing using Apache Spark. Expertise in Oracle Golden Gate, dev adapter for loading data from RDBMS into Hadoop, and integrating with custom workflow orchestrator. Proficient in Java, Maven, HDFS, and Kafka.
With over 7 years of IT experience, this data engineer strongly focuses on data engineering frameworks, ETL processes, data warehousing, and BI frameworks. She has a proven track record of delivering high-quality solutions and is experienced in diverse domains including logistics, automotive, traveling, medicine, retail, and media. Additionally, she possess strong leadership skills and is well-versed in troubleshooting and problem-solving.
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