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Data Engineer | AWS
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Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: DECSKILL TALENT : We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth. DECSKILL BOOST : Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations. DECSKILL CONNECT : Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value. At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. We are searching for an Data Engineer with expertise with AWS Mission: A data engineer will design, build, and maintain the data pipelines and analytics platforms using Amazon Web Services AWS infrastructure and the Snowflake Data Cloud. This role involves seamlessly integrating Snowflake with various AWS services to manage the full data lifecycle. We need candidates who have strong experience operating at large scale. This includes high volume data systems, enterprise level environments, and working within large tech teams. Responsibilities: Designing and building data pipelines using AWS S3, Glue, Lambda and Kinesis. Data modelling and architecture in Snowflake. Performance tuning and cost optimization in AWS and Snowflake. Automation with Apache Airflow, AWS Step Functions, or Snowflake Tasks. Data governance and security using Snowflake RBAC or AWS IAM. Collaboration with data scientists, analysts and engineering teams. Developing data quality standards, procedures and reporting. Requirements: Experience with 5 to 7 years of experience in Data Engineering, with large scale experience Experience with AWS Step Functions. Strong Snowflake expertise. Experience with Python. Experience with SQL. Apache Airflow. Snowflake Tasks or one orchestration tool Snowflake preferred. Snowflake Certification preferred. AWS Certification preferred. English required, both spoken and written. If you’re interested in this job, please send your CV to or with reference “DataEngineerAWS”. Thank You
