Job Description :

Job Title: Senior Data Engineer

Location: Campbell, CA

Duration: 12 months

What you'll be working on

  •     Design and implement data applications in collaboration with product teams to drive product-led growth initiatives across the Barracuda product portfolio
  •     Build reverse ETL pipelines to integrate with external systems to operationalize data from our customer data platform. Including building and integrating REST APIs, web hooks, etc.
  •     Ensure integration systems are secure, compliant, efficient, and scalable. Ensure data quality
  •     Collaborate with company leadership, finance, product, data, and design teams across the organization to design and implement early warning and alerting systems to drive customer engagement, and actionable insights for customer acquisition, retention, and other key business performance metrics.
  •     Design, implement and support infrastructure required for optimal transformation and integrations in collaboration with data scientists and ML engineers
  •     Identify requirements and create methods to enrich data from multiple sources
  •     Play a key role in adopting best practices and defining data modeling standards

What you bring to the role

  •     Bachelor's degree in Computer Science, Mathematics or related field
  •     5+ years of industry experience as a Data Engineer working on large data sets building data frameworks and data products
  •     Excellent programming skills in one or more of the following languages: Python, Go, Java
  •     Advanced SQL knowledge and experience with relational and NoSQL databases
  •     Experience with data modeling, data warehousing, and data pipelines. Experience using tools such as dbt, Airflow, Luigi etc.
  •     Experience developing algorithms and statistical models to analyze and interpret data sets, identifying trends/patterns. Experience with data visualization
  •     Experience with public cloud, preferably AWS, and services such as Redshift, S3, ECS, EC, Kinesis etc.
  •     Working knowledge of message queuing and stream processing
  •     Experience with Spark, Databricks, Hadoop, and related technologies is a plus
  •     Experience providing technical leadership and mentoring to other engineers on data engineering
  •     Ability to communicate clearly and use a collaborative approach across boundaries to get work done
             

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