·         Implement data pipelines using agile, iterative processes to deliver value quickly

·         Treat data quality, reliability, and documentation as fundamental acceptance criteria for data pipelines

·         Collaborate with the team to make the best technology choices

·         Deliver solutions that ensure data accuracy, high availability, robust security, and that are built for rapid scaling

·         Create and maintain data models, data catalogues, and data security

·         Partner with data analysts to implement features that serve Zipcar’s demand for reliable information

·         3-5 years experience with data engineering or data warehousing, or an equivalent data-oriented software engineering background

·         2-3 years experience with ETL technologies (e.g. Talend, Informatica, Matillion)

·         2-3 years experience with key AWS technologies (Redshift, S3, IAM; also Kinesis, Lambda, EMR, Spark, Hive)

·         3-5 years of experience with SQL

·         Experience in optimizing queries and tuning database performance

·         Familiarity with data analysis and data science tools (Looker, Python, Jupyter, R) is a plus

·         Python or Java experience is a plus

·         Understands business value, context and priorities of the team's work

·         Collaborates in scoping, solution design and evaluation

·         Adheres to team priorities

·         Assists other team members in developing, testing and deploying software changes

·         Engages problems directly and creatively