Sr Data Engineer

Responsibilities: 6+ yrs experience and bachelor's degree in computer science, Informatics, Information Systems or a related field; or equivalent work experience In-depth working experience of distributed systems Hadoop/MapReduce, Spark, Hive, Kafka and Oozie/Airflow At least 5 years of solid production quality coding experience in data pipeline implementation in Java, Scala and Python Experience with AWS cloud services: EC2, EMR, RDS Experience in GIT, JIRA, Jenkins, Shell scripting Familiar with Agile methodology, test-driven development, source control management and test automation Experience supporting and working with cross-functional teams in a dynamic environment You're passionate about data and building efficient data pipelines You have excellent listening skills and are empathetic to others You believe in simple and elegant solutions and give paramount importance to quality You have a track record of building fast, reliable, and high-quality data pipelines Preferred Skills: Experience building Marketing Data pipelines including Direct Mail will be a big plus Experience with Snowflake and Salesforce Marketing Cloud Working knowledge of open-source ML frameworks and end-to-end model development life cycle Previous working experience with running containers (Docker/LXC) in a production environment using one of the container orchestration services (Kubernetes, AWS ECS, AWS EKS