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.
Accountabilities:
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
