KINESSO is looking for a Senior Data Engineer to architect the next wave of data solutions in the AdTech and MarTech sectors, focusing on data architecture and pipeline design to deliver actionable growth for agency partners and clients.
Requirements
- 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)
- Experience with Git or equivalent version control systems and CI/CD pipelines.
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
- 4+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects.
- 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.
- Must be a team player but also can work independently.
