Top Data Engineer Jobs in Gurgaon

As a Data Engineer II, you will manage complex problem resolutions, develop automation solutions, and optimize business processes while collaborating on project plans and improving customer-focused services.

The Business Technology Solutions Associate will design and implement technology solutions, collaborating with teams to address business problems using methodologies like agile and waterfall.

Design and develop scalable data engineering solutions with a focus on AI integration, cloud services, and high-performance data pipelines. Collaborate with teams to ensure application performance and compliance with best practices.

Lead initiatives in advanced data analytics, develop frameworks, integrate AI/ML models, and foster collaboration to improve business performance and customer success.

Design and maintain scalable data pipelines, optimize data models, and collaborate with teams to support analytics and reporting needs.

Design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for large-scale data processing.

Build and manage the data layer for equities trading, develop scalable data pipelines, ensure high-quality research datasets, and set data standards.

Lead the maintenance and expansion of reporting platforms, develop data transformations in SQL, manage junior engineers, and ensure data quality on Google Cloud Platform.

As a Senior Analyst-Data Engineer, you will design, develop, and optimize data pipelines, ensure data quality and transform marketing data into insights.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

The AI Data Engineer will manage the full lifecycle of data solutions, including ETL pipelines, analytics, and AI-driven workflows, while collaborating with various stakeholders to support strategic and operational needs.

As a Data Engineer, you will leverage data to drive business outcomes, develop data integration frameworks, and support data quality and lifecycle management.

As a VP Data Engineer, you will lead the design of data solutions using various technologies, aiming for efficiency and customer-centric data strategies while mentoring teams and streamlining data processes.

As a Data Engineer, you will design, develop, and maintain data integration solutions, optimize ETL/ELT pipelines, and support data workflows for analytics and reporting.

The role involves designing scalable data pipelines and architectures using Microsoft Fabric, client engagement for requirements gathering, and optimizing data solutions for analytics and reporting.

The Data Engineer will translate analytical requirements into scalable data products, handle data modeling in Snowflake using dbt, manage data pipelines with Airflow, ensure data quality, and collaborate with cross-functional teams.

Lead the Data Engineering team in designing and building ETL pipelines for the Internal Data Platform, ensuring scalability and performance, while collaborating with security and governance teams.

The Data Engineer will build and maintain ETL/ELT pipelines in Microsoft Fabric, transforming data for analytics and reporting while collaborating with global teams.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

Data Engineer responsibilities include designing and building scalable data management systems, optimizing data pipelines, managing data warehouses, and ensuring data quality and compliance.

The Data Engineer will build and maintain data pipelines, manage and transform data, ensuring its quality across platforms, with hands-on experience in Google and AWS data products, SQL, Python, and ETL processes.

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.

As a Data Engineer, you will design and maintain data pipelines on Databricks and AWS, focusing on ETL/ELT processes to support analytics and reporting across the organization.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.