Top Data Engineer Jobs in Gurgaon

The Senior Data Engineer will design and maintain data engineering solutions, collaborate with stakeholders, troubleshoot data issues, and provide technical leadership across projects involving Azure and Microsoft Fabric.

Design, develop, and maintain large scale data engineering solutions, focusing on Data Management, Data Engineering, and Data Governance, using technologies like Databricks and Pyspark.

The Senior Data Engineer will design and implement data engineering solutions on Google Cloud Platform, leading projects and mentoring junior staff.

The Data and Application Integration Engineer will design and implement application integrations, migrate legacy processes, manage data quality, and support CI/CD pipelines.

The Senior Data Engineer will develop and implement end-to-end technical solutions, ensuring performance and data integration across various cloud data platforms while collaborating with clients and creating documentation.

Responsible for designing, building, and maintaining data infrastructure, quality assurance, security measures, and collaboration with stakeholders for data management.

Design and maintain data infrastructure for the Joint Replacement franchise, ensuring data quality and security while collaborating with stakeholders for analysis needs.

Graduate-level internship to gain hands-on experience building large-scale data solutions using Databricks, SQL, PySpark and Azure. Collaborate with global teams, learn Azure DevOps, integrate AI/ML into data pipelines, and progressively take on independent engineering tasks.

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.

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.

The Data Solutions Engineer will develop and maintain ETL processes, manage data models, optimize T-SQL queries, and implement data processing tasks with Azure tools, ensuring efficient data flow and supporting healthcare operations.

The Data ETL Engineer will develop ETL processes using AWS Glue, manage data cataloging, design data models, and ensure data quality.

The role involves designing, building, and maintaining data pipelines and analytics solutions, using various technologies to provide insights to stakeholders.

Design, implement, and manage scalable data pipelines and infrastructure, collaborating with data scientists and analysts to support analytics initiatives.

The role involves designing and maintaining data pipelines, managing data warehousing, and collaborating with teams to support analytics initiatives, requiring strong proficiency in various data technologies.

The Senior Data Engineer will design and maintain scalable data pipelines, manage data warehousing on Google BigQuery, and implement CI/CD practices for data workflows.

Design, implement, and maintain enterprise data governance framework, ensuring data integrity, quality, and security while collaborating with stakeholders and providing training.

The role involves designing, building, and maintaining data pipelines and analytics solutions using various technologies to provide insights and effective operations for business stakeholders.

Design and manage data pipelines and architectures using cloud platforms. Collaborate with stakeholders to ensure data security and compliance, optimizing workflows for performance.

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

Seeking a Senior Data Engineer with expertise in cloud data platforms to develop and integrate end-to-end technical solutions, ensure performance and scalability, and document solutions thoroughly.

The Data Migration Engineer executes technical builds and validations of data migration pipelines, ensuring accurate SQL processes and data integrity for client data migrations.

Lead the modeling of the Customer Data Platform, defining event taxonomy and ensuring reliable datasets for analytics, product insights, and machine learning. Collaborate with various teams to maintain data consistency and shape the architecture of the behavioral data platform.

The Senior Data Engineer will design and maintain pipelines for event data ingestion and validation, ensuring operational reliability and consistency for analytics.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.