Data Engineer Scala

Job Summary Our growing data teams are seeking a savvy Senior Data Engineer to join them and help build and evolve the next generation of Audience & Identity data platforms that handle data at scale and use state-of-the-art technologies to unlock the data’s business value. Design, implement, and maintain scalable data pipelines to ingest and transform large volumes of data from various sources Optimize streaming and batch data processing and storage solutions for performance and scalability Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability and reliability Collaborate with product managers and other stakeholders to understand data requirements and deliver data solutions that meet business needs Communicate technical concepts and solutions effectively to non-technical stakeholders Stay abreast of emerging technologies and best practices in data engineering. Identify opportunities to improve data processes, tools, and infrastructure to enhance efficiency and effectiveness Document data pipelines, processes, and systems to ensure clarity and maintainability Share knowledge and best practices with team members to foster a culture of learning and collaboration Work with and mentor Junior Data Engineers Requirements 5+ years of hands-on experience in the Software Development field and/or Big Data Strong experience in Scala or Java Proficient in Databricks with a solid foundation in Spark Experience with CI/CD tools (Jenkins) Familiarity with shell, ability to work well with command lines, and a solid knowledge of data structures, algorithms, and system design Work experience with ETL pipelines Strong skills in SQL and experience with at least one of the major database platforms At least an Upper-Intermediate level of English Would be a plus Experience with Python, and Golang Experience in the media or advertising industry Experience with graph databases (GraphX, Neo4J) and related analysis Experience with Kubernetes, Terraform, and ELK Experience with Snowflake AWS certification and previous experience with AWS services such as S3, EMR, EKS, Glue, EC2, IAM, CloudFormation, Athena, Lambda, and others Benefits General Ones: Continuous training program Talks and workshops on personal and professional growth Organizational team building events Rewards Social Responsibility committee Developer’s day celebration Birthday off Monthly kudos Holiday celebration day off 70+ Partnerships with restaurants, hotels, hiking groups, fitness, stores, medical services, psychology services, dental services, universities, pet supply services, pet medical pharmacy chains, events, and car services. Payroll only: Legal benefits Life and medical insurance Vacations Paternity and maternity leave Birthday gift card Apply Here