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Data Engineer

Skills
SQLData WarehousingExtractTransformLoadKnowledge AcquisitionSnowflake Cloud
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 3+ years of experience in a similar role with a solid foundation in data engineering and SQL.
  • Effective communicator capable of working collaboratively within a team to achieve common goals.
  • Technologically savvy with a keen interest in learning new technologies and staying updated with current data engineering practices.
  • Experience with cloud-based data warehousing solutions such as Snowflake Amazon Redshift or Google Big Query.
  • Proficiency in building ETL/ELT processes and using orchestration tools like Airflow NiFi and streaming frameworks like Kafka.
  • Ability to develop and maintain scalable data models and construct batch and real-time data pipelines.

Nice to have

  • Snowflake
  • Kafka
  • Power BI

Day to day

  • Dive deep into data engineering by crafting and developing innovative payments data warehouse and dashboarding solutions.
  • Work alongside stakeholders to solve complex challenges and enhance functionality of a cutting-edge payments platform.
  • Fast-track the deployment of tailored payment solutions to meet customer expectations.

Hiring process

  • Talent Screen - 30 Minute video call
  • Hiring Manager & Team Member - 1 Hour video call
  • Take Home Case Study
  • Case Study Follow Up Interview