Requirements
- Expertise in SQL and NoSQL databases, data warehousing, and data modeling.
- Fluency in Python and SQL.
- Experience with data warehousing technologies such as Google BigQuery, Delta Lake, Amazon Redshift or Snowflake.
- Experience using data pipeline frameworks such as Apache Beam or Apache Spark at scale.
- Experience with data orchestration / automation frameworks such as Airflow, Databricks and MLFlow.
- Experience with data modeling and data governance best practices.
- Experience with data visualization tools such as Tableau or Power BI.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5+ years experience in data engineering, with a track record of designing, developing, and maintaining large-scale data infrastructure.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Nice to Have
- Master’s degree in Computer Science, Engineering, or a related field.
- Experience in machine learning or data science.
Benefits
- competitive benefits package
- discretionary bonus or commission tied to achieved results
