Job Requirements:

True, early-stage work ethic and enthusiasm.
3+ years of experience in data engineering or a related field.
Experience architecting efficient SQL data structures.
Experience with data storage solutions such as PostgreSQL/Apache Druid/Apache Pinot.
Expertise in ETL processes, data transformation, and data integration.
Strong programming skills in at least one programming language, such as Python.
Familiarity with cloud platforms such as AWS or Google Cloud Platform.
Willingness to learn new technologies and think outside the box.
Strong troubleshooting skills.
Excellent communication skills, including ability to collaborate across borders and departments.
Passion for continuous learning; insatiable curiosity driving tough questions, new knowledge and solutions.
Preferably, have experience working in a start-up.
Preferably, have a basic knowledge of finance and accounting.

Job Description:

Implement and maintain data architecture, data pipelines, and data storage solutions.
Collaborate with data scientists, analysts, and other stakeholders to design and implement data-driven solutions.
Develop and maintain ETL processes, data integration and data transformation processes.
Monitor and maintain data quality, accuracy, and integrity.
Identify opportunities to improve data infrastructure and processes, and implement improvements in a timely manner.
Develop and maintain documentation for data infrastructure, processes and systems.
Stay up to date with the latest trends and technologies in data engineering (Airflow, Great Expectations, dbt, Apache Superset).