Data Engineer

1 dia atrás

Alemanha, Brasil Avenue Code Tempo inteiro

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams. Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture. About the opportunity: We are seeking a highly motivated and experienced Data Engineer with deep expertise in MLOps discipline to join our Data Engineering team. In this role, you will be at the forefront of designing and developing scalable, robust data architectures and MLOps solutions utilizing the latest technologies from Google Cloud Platform (GCP) and AWS. As a key contributor, you will collaborate closely with cross-functional teams to understand and address their data and ML platform requirements. Skills/Experience: Minimum Requirements: • At least 5 years of proven experience as a Data Engineer or MLOps Engineer in developing platform level capabilities for a data-driven midsize to large corporations. • Strong programming skills in languages such as Python, Java or Scala, with experience building large-scale, fault-tolerant systems. • Experience with cloud platforms (GCP, AWS, AZURE) with strong preference to GCP. • Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases)• Hands-on experience with ML frameworks (TensorFlow, PyTorch) and ML deployment patterns. • Practical experience with containerization and orchestration tools (Docker, Kubernetes)• Experience building data pipelines & ETL • Experience with command line, version control software (git)• Excellent communication and collaboration skills. • Ability to work independently and quickly become productive after joining. Preferred Requirements: • Knowledge of distributed data processing frameworks such as Apache Kafka, Flink, Spark, or similar. • Experience with DBT (Data Build Tool) and Looker. • Knowledge of common ML deployment patterns. Degree Requirements: Bachelors or Masters Degree in Computer Science or relate Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.

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