Data Engineering (Python SQL)
AI Summary
Senior data engineer designs and maintains scalable data infrastructure, builds ETL pipelines, and optimizes queries using Python and SQL Server to support analytics and AI-driven solutions.
About this role
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
- 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
- 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
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.
