Data Engineering Apprentice

   Assist in building and maintaining data pipelines for ingesting, transforming, and validating data from various source systems.
•    Support data transformations using SQL and Python under established engineering standards.
•    Help with data quality checks, reconciliation processes, and basic troubleshooting of data issues.
•    Participate in documenting data pipelines, table definitions, and engineering artifacts.
Learning & Engineering Practices
•    Learn and apply modern data engineering practices including ELT/ETL pipelines, version control, and CI/CD fundamentals.
•    Follow enterprise data engineering standards for naming conventions, data modeling, and code quality as defined by the team.
•    Gain hands-on exposure to cloud data platforms such as Snowflake and Azure-based data services.
•    Participate in code reviews and technical walkthroughs as a learning opportunity.
Collaboration & Communication
•    Work closely with senior data engineers, analysts, and product owners to understand business and technical requirements.
•    Support team activities such as sprint planning, backlog grooming, and sprint reviews in an Agile delivery model.
•    Communicate progress, issues, and learnings clearly to mentors and team members.
Data Governance & Compliance
•    Learn and adhere to data governance, security, and access control standards.
•    Assist in implementing basic data validation, audit columns, and control checks required for enterprise and finance data