Join our Partners Data Team as a Senior Data Engineer and take on the challenge of designing, implementing, and maintaining critical data pipelines. You'll play a key role in ensuring data integrity and accessibility, enabling our teams to drive strategy and optimize partner experiences.
In your day-to-day, you will:
Design and implement data pipelines, ensuring the seamless flow of information into our data warehouse.
Develop scalable solutions to address data gaps and process design needs.
Monitor data pipeline performance, troubleshoot issues, and guarantee data infrastructure availability.
Collaborate with analysts and product managers to align data models with business priorities.
Engage with a diverse group of stakeholders, including data engineers, analysts, and data scientists, to support data-driven decision-making.
In your day-to-day, you will:
Design and implement data pipelines, ensuring the seamless flow of information into our data warehouse.
Develop scalable solutions to address data gaps and process design needs.
Monitor data pipeline performance, troubleshoot issues, and guarantee data infrastructure availability.
Collaborate with analysts and product managers to align data models with business priorities.
Engage with a diverse group of stakeholders, including data engineers, analysts, and data scientists, to support data-driven decision-making.
Requirements:
2+ years of experience as a Data Engineer, ideally within an online company handling large datasets.
Proficient in SQL, with the ability to craft complex queries, and skilled in Python for developing data pipelines.
Independent and quick learner with excellent prioritization skills and the ability to work collaboratively.
Fluent in English with strong communication abilities.
Familiarity with Airflow, Great Expectations, Spark, and cloud data solutions (Google or AWS) an advantage.
2+ years of experience as a Data Engineer, ideally within an online company handling large datasets.
Proficient in SQL, with the ability to craft complex queries, and skilled in Python for developing data pipelines.
Independent and quick learner with excellent prioritization skills and the ability to work collaboratively.
Fluent in English with strong communication abilities.
Familiarity with Airflow, Great Expectations, Spark, and cloud data solutions (Google or AWS) an advantage.
This position is open to all candidates.
