Data Engineer - Global Team

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer - Global Team based in India.

This role offers the opportunity to join a high-impact data engineering team supporting large-scale analytics and data-driven products.You will design, build, and optimize reliable data pipelines that transform complex datasets into valuable business insights.The position combines technical depth, problem-solving, and collaboration with global teams in a fast-moving environment.You will work with modern data technologies, including Spark, PySpark, SQL, Databricks, and AI-ready data solutions.This is an opportunity to contribute to the foundation of scalable data infrastructure while continuously developing your technical expertise.You will play a key role in improving data quality, efficiency, and accessibility for teams relying on advanced analytics.

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Accountabilities:

• Build, maintain, and optimize end-to-end data pipelines that support critical analytical products and business operations.

• Develop scalable data processing solutions using technologies such as PySpark, Spark, SQL, and Databricks.

• Design and implement best practices for data modeling, pipeline architecture, reliability, and performance optimization.

• Create AI-ready analytical datasets with the appropriate structure, metadata, documentation, and business context to support AI applications and advanced analytics.

• Troubleshoot and resolve complex data pipeline challenges while improving system efficiency and scalability.

• Collaborate with cross-functional stakeholders to understand business requirements and incorporate relevant logic into centralized data workflows.

• Support the continuous improvement of internal data engineering tools, frameworks, and processes.

• Work closely with engineering leadership and global teams to deliver reliable, high-quality data solutions.

• Learn and apply emerging technologies across data engineering, artificial intelligence, ETL, and analytics ecosystems.

• Contribute to establishing technical standards and practices as the data engineering function continues to grow.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, STEM, or a related technical discipline.

• 4+ years of experience working as a Data Engineer or in a similar technical role involving data systems and pipelines.

• Strong understanding of data engineering concepts, including data processing, transformation, modeling, and pipeline development.

• Hands-on experience working with large-scale datasets using PySpark, Spark, SQL, Delta Lake, and Databricks.

• Experience designing, developing, and maintaining reliable data pipelines in production environments.

• Ability to understand business requirements and translate them into effective data solutions aligned with organizational goals.

• Strong analytical and problem-solving skills with the ability to investigate and resolve complex technical challenges.

• Comfortable learning new technologies and adapting to evolving data platforms and tools.

• Self-motivated approach with the ability to work independently while collaborating effectively with global teams.

• Excellent verbal and written communication skills.

• Experience with additional data technologies such as Airflow, dbt, Snowflake, or similar platforms is a plus.

• Ability to overlap with US working hours during onboarding and participate in occasional meetings with international teams after the training period.

Benefits:

• Remote work opportunity based in India.

• Competitive salary package with comprehensive benefits.

• Flexible working approach with standard IST hours after onboarding, including limited overlap with global teams when required.

• Vacation time, parental leave, team events, and employee-focused programs.

• Learning and development support, including opportunities for continuous technical growth.

• High-impact role with ownership over meaningful data engineering projects.

• Opportunity to work with modern technologies across data engineering, AI, analytics, and cloud ecosystems.

• Collaborative global environment focused on innovation, trust, and professional development.

• Career growth opportunities based on impact, skills development, and contributions rather than tenure.

\nHow 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.

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