Sr. Data Engineer

21 hours ago


San Francisco Bay Area, United States Acunor Full time

Job Title: Senior Data Engineer

Location: San Francisco - onsite

No. of years of experience: 8+ years’


What 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)


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