Data Engineer(Experience 2-5 year)

Role Overview

We are looking for a Data Engineer to design and develop scalable data pipelines and workflows for data ingestion, transformation, and integration. You will build and maintain data storage systems, including data warehouses and data lakes, while ensuring data accuracy and integrity through rigorous validation processes.

Responsibilities

• Design and develop scalable data pipelines and workflows for data ingestion, transformation, and integration.
• Build and maintain data storage systems, including data warehouses, data lakes, and relational databases.
• Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.
• Collaborate with data scientists, analysts, and business teams to deliver tailored solutions.
• Optimize database performance and manage large-scale datasets.
• Leverage cloud platforms and big data technologies for building robust data solutions.
• Automate and monitor data workflows using orchestration frameworks.
• Implement and enforce data governance policies to ensure compliance and security.
• Troubleshoot and resolve data-related issues.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 2–3 years of experience working with Python, SQL, and data integration tools preferred.
• Freshers with strong academic projects and internships are welcome.
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Ability to work in a dynamic, research-oriented team.

Skills

• Python
• SQL
• Apache Spark
• AWS
• Apache Airflow

Benefits

• Provident Fund