Data Engineer (Tech)

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Capital C Corporation

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Job Description

Job Highlights:

  • Part of team to build a passionate, energetic, and innovative work culture
  • High potential for personal growth and advancement as our team is growing and expanding

About you:

  • You enjoy working with large data sets and a strong believer of “a picture paints a thousand words”
  • You think about the end user’s wants and needs and work to solve problems, create high value, and cut features that don’t create value.
  • You are curious and dare to challenge existing processes for a better way or method
  • You take ownership and is impact driven

What you will be doing:

  • Work with the product delivery team to design data models / sets that support functional and technical requirements of a multi-region operation
  • Empower our software engineering team with an optimised and scalable data architecture and infrastructure
  • Embrace a DevOps mentality to bring improvements to our data pipelines through automation of manual processes, data flows optimisations and resizing/refactoring of infrastructure for scalability and reliability
  • Build infrastructure to support ETL processes from various SaaS and cloud infrastructure data sources
  • Build effective analytics tools that provide relevant and actionable insights

What you possess:

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline
  • At least 3 - 5 years of technical experience for the following:

  1. Experience with big data tools: Hadoop, Spark, Kafka, etc.
  2. Experience with relational SQL and NoSQL databases, including Postgres and Snowflake
  3. Experience with data pipeline and workflow management tools: Airflow, dbt, etc.
  4. Experience with AWS cloud services: EKS, EMR, RDS
  5. Experience with stream-processing systems: Storm, Spark-Streaming
  6. Experience with the following languages: Python, Golang, NodeJs, Scala
  7. Experience with Google Data Studio or other analytics platform
  8. Nice to have experience with low code platforms: Workato
  • Deep understanding of computer architectures, data structures and algorithms
  • Reliable, self-motivated, and self-disciplined individual.
  • Effective written and verbal communication skills.
  • Excellent technical, analytical and organisational skills

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