Senior Data Engineer
3 semanas atrás
Decskill was founded in 2014 as an IT Consulting Company and their main mission is to delivery value through the knowledge. We enable companies to meet the chalenges of digital world by providing our clients with business models that ensure technological capacity, flexibility and agility. We are more than 500 consultants with offices in Lisbon, Porto and Madrid. DECSKILL operates in 3 main areas: DECSKILL TALENT: Through which we provide our clients with an extension to their IT teams; DECSKILL BOOST: Through which we provide our client with software development models to increase capacity and optimize Time-to-Market, where we create and manage teams that deliver according to their needs, at the desired speed; DECSKILL CONNECT: Through which we provide our client with consulting services, as well as the implementation and management of information technology infrastructures. We are searching for a Senior Data Engineer RESPONSABILITES & REQUIREMENTES: The Data Engineering team works closely with data scientists, analysts, and business stakeholders to optimize the data and tools that empower data-driven decisions. Our responsibilities include creating data pipelines and models, upkeeping the data platform, and ensuring the best experience for the business. The stack consists of Snowflake, Fivetran, Airflow, DBT, Monte Carlo, Power BI, and several others for a complete modern stack. As a member of the team, your main role is to be a top individual contributor, but also to provide assistance to other team members on the development, testing, and documentation of developed solutions, while fostering strong stakeholder relationships for ongoing business. Key Responsibilities: This role will be a key member of the Activity Analytics Platform and Utilization Model, working closely with business experts to create streaming and packaging pipelines, consolidating event data, and using algorithms for identification purposes. Data Pipelines: Planning projects with senior data engineering team members Creating single sources of truth for activity data Implementing technical and business data validation rules Accelerate analyses by exposing Data Products via APIs and dimensional models Improve best practices, ensuring a reliable and solid delivery process Assist in the creation and upkeep of MLOps pipelines Requirements: Good communication skills for different audiences Experience in data requirement gathering and analysis Good knowledge of Data Modeling Programming knowledge to clean and process data sets Transparency and ability to establish lasting trust and supportive relationships If you’re interested in this job, please send your CV in to with reference “CM/Senior Data Engineer”. Thank You
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