Top Data Engineer Jobs in Delhi

The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.

The Data Engineer will work collaboratively across teams to implement data security solutions, manage data models and databases, conduct risk assessments, and ensure compliance with privacy laws. Responsibilities include developing data-centric strategies, training stakeholders, and improving security observability services.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.

As an Azure Data Engineer Analyst, you will design and implement Azure native data solutions, develop and optimize data pipelines, create robust data models, and mentor junior team members. You'll also work on implementing data processing using various Azure services, design job orchestration, and develop reusable components.

Leverage advanced statistical and computational methodologies to deliver insights and strategic opportunities for improving healthcare quality, patient experience, and cost. Integrate, analyze, and interpret business level data from multiple sources. Develop scalable processes for large-scale data analyses and model development. Manipulate and refine large datasets, monitor complex systems, and provide support on data-related solutions to business partners and clients.

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.

As a Data Engineer, you will build and optimize data pipelines and architectures to support analytics and reporting needs. This role focuses on ensuring high data quality and seamless integration across digital marketing sources while collaborating with teams to improve decision-making through reliable data.

The Data Engineer will construct infrastructure tools for trading teams, improve processes through automation, assemble complex datasets, collaborate with global teams, document programming patterns, ensure quality standards, and optimize code for scalability.

Work as an Analyst Programmer/Data Engineer in a dynamic and empowering environment. Collaborate with experts in the field to make a difference in the lives of clients worldwide.

As a Lead Data Engineer, you will design, develop, and maintain data infrastructure and lead a team to implement scalable data solutions. Responsibilities include overseeing data warehouse implementation, ensuring data quality and compliance, and translating complex data findings into actionable insights.

As a Lead Data Engineer, you will design, develop, and maintain data infrastructure, lead a team of data engineers, and contribute to the overall data strategy. The position requires extensive experience with cloud-based data technologies, especially Azure, and involves implementing scalable data solutions.

As a Senior Data Engineer, you will build and maintain big data platforms, develop data pipelines using Python and SQL, implement CI/CD, perform data modeling, and ensure data quality. You will also collaborate with analysts and various domains to fulfill business requirements and support production environments.

The Senior Data Engineer will design and maintain scalable data engineering platforms, build algorithms for massive data processing, integrate new technologies, and improve data pipeline efficiency. They will collaborate with teams to ensure project goals are met and manage data ingestion platforms while creating custom analytics applications.

The Senior Big Data Engineer will develop and scale stream and batch processing systems using various technologies, manage data workflows with Oozie and Airflow, leverage GCP for big data solutions, and implement DevOps best practices like CI/CD and Infrastructure as Code.