Data Engineering Apprentice

Job Description

Company Name: Eaton Job Title: Data Engineering Apprentice Job Category: Data Engineering / IT / Finance Tech Location: Pune, Maharashtra, India Employment Type: Apprentice Work Mode: Hybrid Experience Required: Freshers / Early Career Job Summary: Opportunity for freshers to build a career in data engineering Work with enterprise-scale data platforms and pipelines Gain hands-on experience in cloud, data transformation, and finance datasets Collaborate with experienced engineers in a structured learning environment Key Responsibilities: Data Engineering & Support: Assist in building and maintaining data pipelines for data ingestion and transformation Work with SQL and Python for data processing tasks Perform data validation, quality checks, and troubleshooting Document data pipelines, schemas, and engineering artifacts Learning & Development: Learn ETL/ELT processes, version control, and CI/CD basics Follow data engineering standards and best practices Gain exposure to cloud platforms like Azure and Snowflake Participate in code reviews and technical discussions Collaboration: Work with data engineers, analysts, and product teams Support Agile activities like sprint planning and reviews Communicate progress and issues effectively Data Governance: Follow data security, governance, and compliance standards Assist in implementing validation checks and audit controls Required Qualifications: Undergraduate or recent graduate in: Computer Science Information Technology Data Science Engineering or related field Required Skills: Basic knowledge of SQL (queries, joins, aggregations) Basic programming knowledge in Python or similar language Understanding of relational databases and data concepts Good analytical and problem-solving skills Strong communication and teamwork skills Preferred Skills: Exposure to cloud platforms (Azure / AWS / GCP) Familiarity with Snowflake, Spark, or data tools (optional) Academic or personal projects related to data engineering Interest in finance or enterprise data systems Additional Information: Industry: Power Management / Technology Work Type: Hybrid Suitable for freshers looking to start a career in Data Engineering