Data Engineer
hace 3 semanas
We're on a mission to decrease the health impact of our industry, and we need a skilled Data Engineer to help us achieve our goal.
Key Responsibilities- Develop Big Data and non-Big Data cloud-based enterprise solutions in PySpark, SQL, and related frameworks/libraries.
- Implement data ingestion pipelines from multiple data sources using Databricks and PySpark, ensuring the quality and consistency of data.
- Understand Data Architecture concepts, processing performance analysis, and optimization.
- Design, analysis, automation, testing, monitoring, and documentation of data solutions.
- Coordinate issue resolution with multi-functional teams and vendors.
- Assist project managers by sharing work plans, effort estimates, and delivery timelines.
- Bachelor's Degree or equivalent experience in Computer Science/Engineering.
- +2 years working experience in data engineering or a related field.
- Experience with Python, Pandas, and related technologies.
- Experience with Databricks, Cloud technologies - Azure, AWS, GCP, Teradata, Snowflake.
- Experience with Control-Versioning coding such as Git.
We're a global Top Employer, certified in offering excellent employee conditions. We prioritize collaboration, inclusion, and partnership, and we're committed to enabling every individual to thrive.
We see career breaks as opportunities, not obstacles. Our Global Returners program supports professionals looking to restart their careers after an extended absence from the workforce.
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