Sequoia Connect
Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.
IT Services • Coaching • Executive hunting • Recruitment • IT Advisory
Senior GCP Data Architect
February 7
Sequoia Connect
Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.
IT Services • Coaching • Executive hunting • Recruitment • IT Advisory
📋 Description
• Our client, founded in Poland in 2005, is a leading consulting and technology company specializing in data analysis, business intelligence (BI), and Big Data solutions. • The company is dedicated to transforming data into valuable information that drives strategic decision-making, enabling organizations to optimize their operations and gain a competitive edge in the market. • With a solid reputation built on an innovative approach and the high quality of its services, our client has collaborated with some of the most recognized brands worldwide. • Their team of experts employs cutting-edge technologies, including artificial intelligence and machine learning, to solve complex problems and improve operational efficiency for their clients. • This ability to handle large volumes of data and extract actionable insights positions our client as a strategic and valuable partner across various sectors. • In addition to their technical expertise, our client is distinguished by a corporate culture focused on innovation and continuous development. • The company invests significantly in staff training and the research and development of new technologies, ensuring they are always at the forefront of emerging technological trends. • This proactive approach allows our client to anticipate market needs and offer solutions that address current challenges and prepare their clients for the future. • Responsibilities include developing and implementing data governance policies, procedures, and frameworks to ensure data integrity and compliance, and designing and developing conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy.
🎯 Requirements
• Proven experience as a Data Architect or in a similar role (at least 2 years) • 5 yrs experience Data engineer • Experience with Big query, data modeling • Proven experience with GCP Cloud technologies • Strong understanding of data management principles, data modeling techniques, database design, and data integration flows • Expertise in working with various database technologies, such as relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) • Knowledge of database management systems, data warehousing, data integration technologies, and Big Data solutions • Understanding of Business Intelligence and data analytics requirements • Excellent communication and presentation skills • Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques • Knowledge of data security and privacy regulations, such as GDPR or CCPA
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