Sr. Data Engineer - Distributed Systems

Job Title: Senior Data Engineer

Location: San Francisco - onsite

No. of years of experience: 8 years'

hat you'll Do:

• Create and maintain optimal data pipeline architecture
• Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS Big Data technologies
• Work with stakeholders including the Executive, Product, Engineering, and program teams to assist with data-related technical issues and support their data infrastructure needs.

About you:

• 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

Nice to have 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)