Description

  • Build and deploy the infrastructure for ingesting high-volume support data from consumer interactions, devices, and apps.
  • Design and implement the processes that turn data into insights. Model and mine the data to describe the system's behaviour and to predict future actions.
  • Enable data driven change -- Build effective visualizations and reports presenting data insights to all stakeholders, internal (corporate) and external (our SaaS customers)
  • Develop and maintain the data-related code in an automated CI/CD build/test/deploy environment
  • Generate specific reports needed across tenants to allow insight into agent performance and business effectiveness.
  • Research individually and in collaboration with other teams on how to solve problems


 

What we seek in you:

  • Bachelor's degree in computer science, Information Systems, or a related field.
  • Minimum of 5+ years of relevant working experience in data engineering.
  • Experience working with cloud Data Warehouse solutions and AWS Cloud-based solutions.
  • Must have strong experience with AWS Glue, DMS, Snowflake.
  • Advanced SQL skills and experience with relational databases and database design.
  • Experience with working on large data sets and distributed computing like Spark
  • Strong proficiency in data pipeline and workflow management tools (Airflow).
  • Excellent problem-solving, communication, and organizational skills. Proven ability to work independently and with a team.
  • Is a self-starter and action biased. Strong in communications that handles stake holder communications.
  • Follows agile methodology to work, collaborate and deliver in a global team set up. Ability to learn and adapt quickly

Education

Bachelor's degree