Build and maintain data pipelines and data platforms supporting analytics, machine learning, and AI workloads.
Implement data integration, transformation, and orchestration solutions using established patterns and best practices.
Contribute to solution design and technical discussions with guidance from more senior team members.
Write clean, maintainable, and well-documented code aligned with team standards.
Support testing, deployment, monitoring, and troubleshooting of data solutions in production.
Collaborate with CSTG team members and client stakeholders as part of a delivery team.
Participate in code reviews, design discussions, and agile team ceremonies.
Follow and apply engineering standards, patterns, and best practices.
Pursue ongoing learning and development of data engineering skills.

2+ years of experience building data engineering or data platform solutions.
Experience with Python, Java, or Scala for data processing and pipeline development.
Experience with SQL for data analysis and transformation.
Exposure to data integration and pipeline technologies such as Spark, Databricks, Snowflake, Redshift, Azure Fabric, AWS Glue, or Azure Data Factory.
Familiarity with data modeling concepts and analytics-focused data structures.
Understanding of data quality concepts such as validation and consistency.
Experience working with data solutions on AWS and/or Azure.
Ability to collaborate effectively within a team and communicate technical concepts clearly.

Data Engineer

Key skills