Top Data Engineer Jobs in Delhi

As a Data Reliability Engineer II, you will analyze and enhance data pipelines, write scripts in Python and SQL, and work with data visualization tools. You will also engage in on-call support and improve operational quality.

Design, test, and optimize prompts for AI systems, analyze performance, collaborate with teams, and communicate findings effectively to stakeholders.

As a Staff Engineer, you will build scalable data systems and analytics frameworks, ensuring high standards of customer success while leveraging open source technologies.

As a Senior Data Engineer, you will design and maintain data systems, implement ETL processes, and collaborate with teams to enhance data management and analytics solutions.

Responsible for designing, developing, and optimizing data infrastructure and pipelines to support analytics initiatives, ensuring data quality and performance.

As a Staff Engineer, you will build scalable data systems, manage data infrastructure, and enhance security insights through analytics and collaboration with teams.

Lead the development of complex software projects and data platforms, oversee architectural integrity, guide software design, and implement scalable data pipelines.

As a Senior Data Platform Engineer, you will manage and optimize Liven's data infrastructure, implementing CI/CD pipelines, and ensuring reliable and scalable data workflows.

As a Senior Data Engineer, you will build and maintain scalable ELT pipelines, ensure data reliability, and support decision-making across the company using advanced data engineering techniques and tools.

The Backend Engineer will build APIs, integrate with third-party systems, and develop financial products while maintaining scalable data architectures, focusing on backend software and technologies.

The Principal Engineer, Data Science will utilize advanced data science techniques and cloud solutions to design and implement predictive models, collaborate with cross-functional teams, and ensure adherence to best practices in data architecture and machine learning.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Associate Principal Engineer, Data Science will design data solutions, focus on predictive modeling, optimize data applications, and oversee collaborative technical design processes.

Analyze business requirements for data visualization, design and maintain PowerBI dashboards, integrate data using SQL and Snowflake, and enhance processes.

As a Senior Data Engineer, you will design and implement data solutions, optimizing performance and ensuring security using various cloud platforms and technologies.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

As a Lead Data Engineer, drive innovative data analytics projects, manage engineering roles, and leverage AWS and Python to transform data solutions.

Lead software development and deployment in R and Python, manage CI/CD pipelines, oversee data strategy, and enhance performance optimization.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

You will write tests and automation for big data workflows, validate ingestion pipelines, and optimize cloud-scale data infrastructure in collaboration with Data Engineers.

The Software Engineer will architect and implement data warehouse solutions, focusing on data ingestion, API development, and scalable platforms.