Required Skills
Data Modeling
Sql
Python
About the Job
Join Eaton's Digital Finance Data Engineering team as a Data Engineer Apprentice in Pune, Maharashtra. This early-career role is designed for individuals eager to build a strong foundation in modern data engineering practices within an enterprise environment. You will gain hands-on experience supporting the design, development, and operation of data pipelines and platforms under the guidance of experienced professionals.
**Key Responsibilities:**
- Assist in building and maintaining data pipelines for data ingestion and transformation using SQL and Python.
- Support data quality checks, reconciliation processes, and basic troubleshooting of data issues.
- Document data pipelines, table definitions, and engineering artifacts.
- Learn and apply modern data engineering practices, including ELT/ETL, version control, and CI/CD fundamentals.
- Adhere to enterprise data engineering standards and gain exposure to cloud data platforms like Snowflake and Azure.
- Collaborate with senior data engineers, analysts, and product owners to understand requirements.
- Participate in Agile team activities, including sprint planning and reviews.
- Learn and adhere to data governance, security, and access control standards.
**Qualifications:**
- Undergraduate degree (or recent graduate) in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- Foundational knowledge of SQL (SELECT, JOINs, basic aggregations).
- Basic programming knowledge in Python or a similar language.
- Understanding of relational databases and data concepts.
- Strong willingness to learn, positive attitude towards feedback, and good analytical skills.
- Clear written and verbal communication skills and ability to work collaboratively.
- Previous exposure to cloud platforms (Azure, AWS, GCP) or data-related projects is a plus.
