Data Engineer With Adf, Sql And Snowflake (Remote From Spain)

Detalles de la oferta

We are still looking for the very Top Talent…and we would be delighted if you were to join our team More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. What we look for? We are looking for an expert Data Engineer with expertise in Azure Data Factory (ADF), SQL, and Snowflake to create efficient, scalable data architectures that support our business operations for an important project with a global investment company. 100% remote position for people located in Spain. ? Key Responsibilities: Design, develop, and optimize ETL processes using Azure Data Factory (ADF) for efficient data integration. Develop and maintain SQL queries to extract, transform, and load data from multiple sources into Snowflake. Implement and manage data models and schema in Snowflake, ensuring efficient data storage and retrieval for analytics purposes. Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver quality data solutions. Build and maintain data pipelines to automate data extraction, processing, and loading into the data warehouse. • Optimize data pipelines for scalability, performance, and reliability. Troubleshoot and resolve data pipeline issues, ensuring data accuracy and timeliness. Collaborate with cross-functional teams to ensure integration with other cloud-based and on-premise systems. Ensure adherence to data governance policies and best practices for data security, quality, and compliance. Mandatory requirements: 5 years of experience as a Data Engineer or in a related role with a focus on cloud data engineering. Expertise in Azure Data Factory (ADF) for creating, deploying, and managing data pipelines. Strong proficiency in SQL and experience with SQL Server or other relational databases. Proven experience with Snowflake for data modeling, management, and integration. Hands-on experience with cloud platforms (preferably Microsoft Azure). In-depth understanding of ETL/ELT processes and data integration strategies. Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize data pipelines. • Experience in creating scalable and high-performance data architectures. Knowledge of data governance, data quality, and security practices. English at least C1 Preferred Skills: Experience with other Azure services like Azure Databricks, Azure SQL Data Warehouse, or Azure Synapse Analytics. Familiarity with DevOps practices and tools in the context of data engineering. Experience working in an Agile environment. ¿What can we offer? -?? 23 days of Annual Leave plus the 24th and 31st of December as discretionary days -?? Numerous benefits (Heath Care Plan, Internet Connectivity, Life and Accident Insurances). - `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Heath Care Plan…) - Free access to several training platforms - Professional stability and career plans - UST also, compensates referrals from which you could benefit when you refer professionals. - The option to pick between 12 or 14 payments along the year. - Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…) - UST Club Platform discounts and gym Access discounts If you would like to know more, do not hesitate to apply and we'll get in touch to fill you in details. UST is waiting for you In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.


Salario Nominal: A convenir

Fuente: Adzuna_Ppc

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