Informacje o stanowisku
We are looking for a Senior Data engineer to join our data team. The ideal candidate for the data-oriented role should have a strong background in Data Engineering, with a proven track record of implementing data pipelines and driving innovation. They should possess excellent communication skills to effectively collaborate with team members and stakeholders, fostering a culture of teamwork and knowledge sharing.
What do we need to solve:
- Improving data estate. Help data owners and their teams to acquire full ownership of their data sets: reviewing existing pipelines and giving recommendations on what should be changed in a systematic way.
- Evolving existing tool set. Take a look and tell us what should be done another way.
Must have skill set
- 5+ years experience in Data Engineering (data modeling, warehousing) across various industries, demonstrating the ability to adapt and implement best practices.
- Expertise in cloud platforms (particularly AWS and Azure) and their data-related offerings.
- Strong experience in Python or Scala
- Experience in designing and implementing ETL processes . ETL tools - such as DBT, Kafka etc. Schedulers: Airflow (primarily), Dagster.
- Databases: Oracle, Snowflake, MongoDB.
- Experience in advising and mentoring team members, promoting a collaborative environment, and driving the adoption of new technologies.
- A demonstrated ability to uplift the data engineering landscape, encouraging innovation and continuous improvement within the team.
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