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
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.