Data Engineer

Responsibilities:
Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
Maintain software engineering and architecture best practices and standards within the team and wider organisation, along with a culture of quality, innovation, and experimentation.
Evangelise and evolve the platform, best practices, data driven decisions; identify new use cases and features and drive adoption.
Be a part of the magic (partner) for countless teams as they use the Data Lake platform, helping architect and solution for success.
Requirements:
Minimum and Preferred.
Inclusive of Licenses/Certs (include functional experience as well as behavioural attributes and/or leadership capabilities).
Experience deploying and running cloud-based applications (preferably AWS), utilizing infrastructure- as-code frameworks like Terraform.
Experience with Python.
Ability to dive deep into any technical component as well as understand the overall systems architecture.
You care deeply about craftsmanship in your software, and can work backwards from the customer experience.
You have excellent written and verbal communication skills.
Preferred Qualifications:
Knowledge of Data Engineering practices and tools, such as Spark, Snowflake, ETL concepts, etc.
5+ years of relevant professional experience and a Bachelor's degree in Computer Science or related field OR 3+ years of relevant professional experience and a Master's degree in Computer Science or related field.

Skills
Spark, Python, Scala, PySpark, ETL, Data Analysis, Data Warehousing, Snowflake

Experience
5-9 yrs