Top Data Engineer Jobs in Delhi

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

The Data Engineer will design and implement data solutions using GCP services, focusing on big data processing, ETL/ELT processes, and analytical problem-solving.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

The GEN BI Engineer will design and deliver innovative BI solutions, collaborate with stakeholders, and build scalable systems using data for strategic decisions.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

Design and implement SIEM solutions for OT environments, integrate logging sources, develop parsers, and collaborate with teams to monitor security threats.

Develop and maintain scalable data pipelines in Azure and Microsoft Fabric, optimize data workflows, and apply scientific algorithms to climate model data.

Design, build, and maintain data systems and infrastructure for efficient data collection, processing, and analysis to support data-driven decision-making.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

Lead the design, development, and maintenance of Disability & Absence products at MetLife, focusing on Big Data technologies and solutions.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

The Associate Software Engineer will create and maintain data pipelines, build infrastructure for data extraction and transformation, and collaborate with stakeholders on data-related issues.

Seeking a Data Engineer to design and optimize data pipelines using Python, SQL, and AWS. Responsibilities include ETL pipeline development, database management, and collaboration with data analysts.