Data Engineer (Databricks)

• Lead the implementation of data engineering best practices using Databricks, Apache Spark and modern data platform technologies.
• Develop reusable data ingestion frameworks and reference patterns to integrate information from corporate applications, APIs, streaming platforms and external data sources.
• Build, maintain and optimize data pipelines, platform services and reference implementations within the data ecosystem.
• Provide technical guidance and mentor portfolio teams in ETL/ELT processes, data engineering standards and platform capabilities.
• Implement data governance practices, data cataloging and data quality monitoring to ensure reliable and properly documented data sets.
• Collaborate closely with Data Architects, Data Scientists, Analysts and business areas to transform business requirements into scalable technical solutions.
• Contribute to the continuous improvement of data platform capabilities, development standards and operational excellence practices.

• More than 5 years of practical experience in Data Engineering and Big Data environments.
• Extensive experience in Databricks and Apache Spark (PySpark).
• Experience in designing and implementing data solutions on Microsoft Azure.
• Solid knowledge of SQL and Python, applying clean code principles and object-oriented programming.
• Experience working with streaming technologies such as Azure Event Hubs and Kafka.
• Solid knowledge of dimensional modeling and Data Warehouse design principles.
• Experience in building scalable, reliable and maintainable cloud-native data platforms.
• Excellent communication and stakeholder management skills, with the ability to influence and guide teams without direct responsibility for project delivery.
• Proactive, solution-oriented profile with a focus on continuous improvement.
• Advanced English., * Experience with Databricks Lakehouse architecture.
• Experience with Delta Lake, Unity Catalog and Databricks Workflows.
• Experience in implementing Data Governance and DataOps practices.
• Hold one or more Databricks certifications, such as:
• Databricks Certified Data Engineer Associate.
• Databricks Certified Data Engineer Professional.

And with us you can enjoy: Indefinite contract Remote. Internal training and access to certifications. Check our calendar here: https://www.knowmadmood.com/es/talento/formacion Flexible compensation plan (medical insurance, transportation, daycare tickets, restaurant tickets) Ambassador of our brand, through our referral plan Recommend your friends and get a bonus! Events, meetups, techdays, talks…and much more! 26 days off (22 vacation days, 2 discretionary days and December 24 and 31 holidays by default) Schedule: 8:30 a.m. to 6:00 p.m. (flexible) Mon-Thurs and Fri 8:00 a.m. to 3:00 p.m. and Summer Intensive July and August from 8:00 a.m. to 3:00 p.m. To keep up to date with our news, follow us here -> knowmad mood At knowmad mood we are committed to equal opportunities and respect for diversity. We apply our Equality Plan and the principle of non-discrimination in all our selection processes.Inscribirse en esta oferta Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

We are knowmad mood! We are a leading company in digital transformation, constantly evolving and at the forefront of technology. We were born to provoke real change through innovation and sustainable development, with the mission of adding value to clients and boosting our talent. Composed of more than 3,000 creative, digital and innovative people connected to a purpose and capable of generating connections with people from all over the world. A responsible, flexible team with a high capacity to adapt to the needs of our clients and the market, while providing value, vision, creativity, expertise, professionalism and passion for technology in each project. The values that guide our direction and lead us to excellence are collaboration, innovation, commitment, fun and trust. What are the requirements?