Job
Description
We are looking for a passionate and curious Data Engineer (Entry-Level) to join our DataTech team. This is an excellent opportunity for fresh graduates or early-career professionals to build a strong foundation in data engineering by working on real-world data problems, building robust pipelines, and collaborating across teams. Responsibilities Assist in developing scalable and optimized data pipelines for extraction, transformation, and loading (ETL). Write clean and efficient Python scripts and SQL queries for data processing and analysis. Work on integrating multiple data sources (databases, APIs, flat files, etc. ) Support team members in ensuring data quality, accuracy, and consistency. Collaborate with analysts, data scientists, and engineers to deliver data solutions. Contribute to automation initiatives and help build internal data tools. Participate in code reviews, documentation, and team meetings to learn best practices in software and data engineering. Assist in building computer vision or different AI models. Requirements B. E. /B. Tech in Computer Science, Information Technology, or related field (Tier I college background is a plus). Strong foundation in: Python (Pandas, NumPy, basic scripting), SQL (writing basic to intermediate queries). Exposure to: Git and Linux Shell Scripting, Data visualization tools or dashboards (e. g., Tableau, Power BI - optional). Bonus if you've explored tools like Airflow, BigQuery, AWS S3/Redshift, or Firebase. Built projects or done internships related to data engineering, analytics, or backend systems. Strong logical thinking, curiosity to learn, and willingness to dive into data problems. This job was posted by Payal Verma from Box8. Show more Show less
