KINESSO is looking for a Senior Data Engineer to architect the next wave of data solutions in the AdTech and MarTech sectors, focusing on actionable growth for clients through optimization, analytics, AI, and experimentation.
Requirements
- 4+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects.
- Familiarity with Airflow, Dagster or similar data orchestration frameworks
- Strong understanding of RESTful APIs as well as experience working with both synchronous and asynchronous endpoints
- Experience with Snowflake or Redshift with a strong understanding of SQL.
- Proficient in Python and Pandas
- Experience working with JSON and XML
- Strong understanding of cloud computing concepts and services (AWS preferably)
Responsibilities
- Develop, test, and maintain data architectures in Snowflake using Python, SQL, and modern data orchestration frameworks to deliver on business requirements.
- Uphold data quality standards, implementing tools and frameworks to detect and rectify data inconsistencies and inaccuracies.
- Optimize pipelines and data structures to ensure peak performance.
- Identify resolve bottlenecks by refactoring code and/or modifying flows.
- Drive initiatives for new data collection while refining existing data sources.
- Ensuring the highest standards of data integrity, accuracy, and reliability.
- Troubleshoot existing ETL pipelines and work with partners to resolve them in a timely manner.
Other
- Develop and update technical documentation.
- Manage conflicting priorities and multiple projects concurrently.
- Highly analytical with strong problem-solving skills: ability to apply solutions forward, not just completing the task at hand.
- Ability to investigate, analyze and solve problems as well as clearly communicate results.
- Strong attention to detail, well organized, and can prioritize tasks under pressure.
