Data Engineer II

Undergraduate degree; Advanced graduate degree (e.g., MBA, PhD, etc.) or equivalent work experience preferred
5+ years of corporate and/or professional services experience
Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Proficient in rational decision-making based on data, facts, and logical reasoning
Must have technical skills with hands-on experience: AWS – Glue, S3; Snowflake (SQL, data sharing, Snowpark, views, functions/stored procedures, Snowpipe); Python, PySpark, Pandas; Git/GitHub, GitHub Actions; Terraform; Designing and implementing ETL pipelines with an understanding of common transformations

Be a leading contributor in the creation and maintenance of data pipelines and database views to represent required information sets
Build and test more sophisticated end-to-end data transformation pipelines solving for specific challenges of different kinds of data sources and types of data (e.g., master, transaction, reference, and metadata)
Be technically hands-on and comfortable writing code to cater to business requirements
Design solutions and use SQL, Python, PySpark, or other programming tools to consume, transform, and write data according to processing requirements for the data
Follow and help to enforce coding and data best practices with the team
Develop, promote, and use reusable patterns for consuming, transforming, and storing different kinds of data from diverse sources
Use a quality and security-first mindset and ensure principles are met through leading by example
Keep aware of the newest technologies and trends and provide meaningful investigations into their potential
Act as thought leader in the team to assess the technical feasibility of developing solutions around a conceptual idea
Consistently be seen as an enabler to working with distributed development teams