Top Data Engineer Jobs in Delhi

Junior Data Engineer role focusing on GCP services, requiring experience with data manipulation, ETL processes, and strong programming skills in Java or Python.

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

As a Data Engineer, you'll develop data pipelines, automate processes, and collaborate with teams to enhance data management and analytics for national security. You'll analyze raw data, manage data platforms, and engage with clients.

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

The Python Data Engineer is responsible for developing Python applications, designing ETL pipelines, integrating APIs, and managing data solutions to enable data-driven decision making.

The Data Engineer develops structured data sets and data models for analytics, manages ETL processes, collaborates with stakeholders, and ensures data integrity and quality.

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.

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

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

Lead the monitoring, maintenance, and optimization of the enterprise data warehouse, ensuring ETL performance and compliance with SOX standards. Collaborate with stakeholders to resolve issues and perform deep-dive analyses for quality improvements.

Assist in building and maintaining data pipelines, support ETL processes, perform data cleaning and validation, collaborate on projects, and learn best practices.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

Join the Enterprise Data Platform team to design, build, and optimize scalable data pipelines using Python, Airflow, DBT, and Snowflake focused on investment and risk analytics.

The Data Engineer will design and maintain data pipelines using Azure Databricks, enhancing performance and scalability, and support production environments in a fast-paced, Agile environment.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

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

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

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.

Responsible for designing, developing, and maintaining data pipelines, ensuring data quality, writing complex SQL queries, and collaborating with team members.

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

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 develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

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.