Data Engineer
Skills
SQLData WarehousingExtractTransformLoadKnowledge AcquisitionSnowflake Cloud
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