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Senior Data Engineer at Jobgether in India, IN
Skills
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in India.
This is an exciting opportunity for an experienced data engineering professional to build and scale modern data platforms that support mission-critical business operations and advanced analytics. Working at the intersection of engineering, product, and customer success, you will design high-performance data solutions while partnering directly with enterprise clients to solve complex data challenges. You will contribute to cloud-native architectures, optimize large-scale data processing, and help shape innovative AI-driven applications. The role offers significant ownership, technical influence, and cross-functional collaboration in a fully remote environment focused on innovation, customer success, and continuous improvement.
Accountabilities:
- Partner with enterprise customers and internal stakeholders to understand business challenges, define technical requirements, and deliver scalable data solutions from discovery through implementation.
Design, build, and maintain scalable batch and real-time data pipelines using Databricks, ClickHouse, Python, SQL, and distributed data processing technologies.
Architect and optimize cloud-native data platforms leveraging technologies such as Delta Lake, Azure Data Services, and modern ETL/ELT frameworks.
Develop reliable data models, quality monitoring processes, orchestration workflows, and data products that support analytics, reporting, AI/ML, and operational applications.
Optimize platform scalability, performance, reliability, security, governance, and cost efficiency across large-scale datasets.
Collaborate closely with Product, Engineering, Customer Success, and Solutions teams while contributing to architecture reviews, platform evolution, and engineering best practices.
Mentor junior engineers, promote technical excellence, and support continuous improvement across engineering initiatives.
Requirements:
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
5+ years of experience in data engineering, data platform development, or similar technical roles.
Strong expertise with Databricks, Apache Spark, Delta Lake, or comparable distributed data processing technologies.
Experience with cloud-based data platforms, preferably Microsoft Azure, and modern cloud-native architectures.
Advanced proficiency in Python and SQL, along with strong software engineering fundamentals.
Hands-on experience building scalable ETL/ELT pipelines, analytical data platforms, and modern data warehouse solutions.
Experience with ClickHouse or similar high-performance analytical databases.
Solid understanding of data modeling, data governance, CI/CD pipelines, DevOps practices, and infrastructure automation.
Excellent communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
Ability to work independently, navigate ambiguity, and succeed in customer-facing technical engagements.
Experience with Terraform, AI/ML infrastructure, streaming architectures, Supply Chain, Logistics, Manufacturing, or Enterprise SaaS environments is considered an advantage.
Benefits:
- Fully remote work environment
- Comprehensive health, financial, and wellbeing benefits
- Opportunities for in-person team collaboration and connection
- High-impact projects supporting global enterprise customers
- Collaborative, ownership-driven engineering culture
- Strong opportunities for technical growth, innovation, and career development
- Exposure to cutting-edge AI-powered data platforms and modern cloud 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!
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.
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