Data Engineering (Python SQL)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering (Python & SQL) in India.

This role is focused on designing and maintaining scalable data infrastructure that powers analytics, reporting, and advanced AI-driven solutions across the organization. You will be responsible for building robust data pipelines, ensuring efficient data movement, and enabling high-quality data access for business and technical teams. The position combines strong backend engineering with analytical thinking, requiring deep expertise in SQL Server and Python-based data processing. You will collaborate with cross-functional stakeholders to translate business requirements into reliable and scalable data solutions. In this environment, you will also contribute to data governance, performance optimization, and system reliability. It is a highly impactful role for an experienced data engineer looking to work with modern data and AI-driven technologies in a remote setup.

In this role, you will be responsible for building, optimizing, and maintaining end-to-end data pipelines and systems that support business intelligence and advanced analytics initiatives.

• Design, develop, and maintain scalable ETL pipelines and data workflows across enterprise systems
• Collaborate with cross-functional teams to gather requirements and identify appropriate data sources
• Build and optimize complex SQL queries, stored procedures, and database structures in SQL Server
• Develop Python-based scripts and tools to automate data processing and transformation tasks
• Ensure data quality, consistency, security, and compliance across all data assets
• Troubleshoot and resolve data issues related to performance, integrity, and availability
• Support continuous improvement of data architecture and engineering practices
• Stay updated with emerging technologies in data engineering, AI, and analytics

---

Requirements:

This position requires strong experience in data engineering, with deep technical expertise in Python, SQL Server, and modern data processing frameworks, along with exposure to AI and machine learning concepts.

• 7+ years of experience in data engineering or related data-focused roles
• Strong proficiency in Python for data processing, automation, and scripting
• Advanced expertise in SQL Server, including query optimization and stored procedures
• Experience designing and maintaining scalable ETL/ELT pipelines
• Solid understanding of data modeling, data warehousing, and database design principles
• Familiarity with data governance, security, and compliance best practices
• Understanding of machine learning, deep learning, and generative AI concepts
• Knowledge of supervised learning and data science workflows is a plus
• Strong analytical and problem-solving skills with attention to data accuracy
• Ability to work independently in a remote, fast-paced environment
• Strong communication skills and ability to collaborate with technical and business teams

---

Benefits:

• Fully remote work model with flexible day shift schedule
• Opportunity to work on large-scale, data-driven systems and AI-related initiatives
• Exposure to advanced analytics, machine learning, and generative AI concepts
• Collaborative cross-functional environment with technical ownership
• Career growth in modern data engineering and AI-enabled ecosystems
• Competitive compensation aligned with experience and expertise
• Opportunity to work with scalable, enterprise-grade data architectures
• Continuous learning and exposure to emerging data technologies