Data Integration & Support
Assist in integrating and maintaining data from multiple business systems and sources.
Support the development and monitoring of data pipelines under the guidance of senior engineers.
Learn and work with APIs, databases, file-based integrations, and cloud-based data systems.
Help validate, clean, and organize structured and unstructured data for analytics and reporting purposes.
Participate in troubleshooting and resolving basic data-related issues.
Data Transformation & Analytics Support
Support data transformation and preparation activities for reporting and analytics.
Write and optimize basic SQL queries and scripts for data extraction and analysis.
Assist teams in understanding business requirements and translating them into data-related tasks.
Gain exposure to enterprise analytics, automation, and up-to-date data engineering practices.
Learn concepts related to machine learning, AI integration, and advanced analytics platforms.
Pipeline & Platform Learning
Collaborate with senior team members to understand data pipeline orchestration and workflow management.
Assist in maintaining documentation for data processes, workflows, and technical activities.
Learn software development best practices including version control, testing, and change management.
Participate in internal learning programs, technical training, and knowledge-sharing sessions.Collaboration & Continuous Improvement
Work closely with developers, analysts, QA teams, and business stakeholders in a collaborative environment.
Support continuous improvement initiatives for data quality, efficiency, and reporting processes.
Follow organizational standards related to data privacy, security, and governance.
Demonstrate curiosity and proactive learning toward emerging technologies and enterprise platforms.
Basic understanding of data engineering, databases, and ETL concepts.
Foundational knowledge of SQL and relational databases.
Basic understanding of programming concept