Big Data Engineer
hace 6 días
About the Role
Kiwibot is an innovative adtech startup that relies on data-driven insights to drive business growth. As a Data Engineer, you will play a critical role in leading and contributing to data projects that align with our business objectives.
Key Responsibilities:
- Design and develop scalable data architectures that meet the needs of cross-functional teams.
- Develop and maintain ETL processes and pipelines using orchestration tools.
- Collaborate with data professionals to ensure the successful delivery of data projects.
- Investigate data issues and respond to client inquiries, providing clear communication and solutions.
Requirements:
- 4+ years of experience in data processing, pipeline development, and related domains.
- Proficiency in Python and SQL.
- Experience with data modeling, warehousing, streaming, and building ETL/ELT pipelines in cloud environments (preferably on AWS).
- Ability to visualize and explain complex data, with and without Jupyter Notebooks.
- Experience with orchestration tools for ETLs.
- Experience with container workflows, familiarity with Docker, Docker Compose, and/or Tilt.
- Experience with distributed columnar data stores (ClickHouse, Snowflake, or Big Query), relational databases (PostgreSQL), NoSQL databases (Cassandra or MongoDB), data lakes in object storage (S3), and HDFS.
- Experience with query engines such as Trino and/or Athena.
- Change Data Capture CDC tools.
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