Top Data Engineer Jobs in Delhi

The role involves leading data science projects focusing on predictive modeling and optimization, specifically using machine learning and cloud technologies. It requires collaboration with clients to translate business needs into technical solutions, including design architecture and guidelines, while managing project standards and ensuring best practices are followed.

The role involves redesigning data science solutions based on client needs, overseeing architectural design, developing data models, and ensuring best practices are followed in the implementation of predictive modeling and machine learning techniques.

The Associate Principal Engineer in Data Science will lead predictive modeling and optimization projects, implement machine learning solutions, and ensure adherence to best practices in architecture and design while collaborating with cross-functional teams.

Design, develop, and maintain high-performance Python applications and scalable ETL/data pipelines. Write optimized SQL, integrate APIs and web scraping, use AWS, and produce visualizations with Power BI/Tableau while ensuring code quality and collaborating cross-functionally.

The role involves developing and maintaining Python applications, optimizing data pipelines, integrating APIs, and ensuring code performance. Collaboration with teams and knowledge of relational databases and data visualization tools are key responsibilities.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Responsible for designing and developing integration processes and custom data solutions using various integration tools and cloud platforms while collaborating with cross-functional teams.

The Senior Data Engineer is responsible for developing Python applications, optimizing data pipelines, integrating APIs, and collaborating with teams to deliver data solutions.

Lead the architecture and implementation of a distributed data platform for microscopy, ensuring scalability and high-performance in data management.

As a Staff Data Engineer, you will architect and develop data ingestion and warehousing solutions, collaborating across teams to drive data-driven decision-making.

The Senior Data Engineer will develop data solutions, manage data pipelines, provide technical support for Palantir, and ensure compliance with data security.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

Design and develop large-scale database systems, optimize performance, and implement automation for managed database services. Collaborate across teams to enhance data access and ensure governance for security and compliance.

This role involves leading SAP data migration projects, developing ETL processes, ensuring data quality, and collaborating with cross-functional teams to optimize data integration and management strategies in SAP environments.

The Software Engineer III will develop SaaS solutions for government agencies, lead features, mentor junior engineers, and improve processes in a fast-paced environment.

The Software Engineer II will develop and enhance data platform systems, design reliable data flows, and drive observability for data pipelines while collaborating with team members and following governance standards.

As a Senior Data Engineer, you will architect the AI-native Data Platform, optimize performance, ensure data governance, and mentor engineers on best practices.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

As a Senior Data & Analytics Engineer, you will design and build data infrastructure, develop data pipelines, and enable self-service analytics, collaborating with stakeholders to create scalable and reliable data solutions.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.

The Senior Staff Engineer will lead Data Science projects, architect systems, mentor team members, and ensure code quality while delivering impactful solutions.