Top Data Engineer Jobs in Delhi

The Senior Data Engineer will design technical architecture, implement data pipelines, and optimize data models for analytics. Responsibilities include working with data analysts on machine learning inputs, establishing best practices, and mentoring junior members while contributing to the data platform’s mission of enabling company-wide analytics and experimentation.

As a Data Engineer at Cardinal Health, you will design, build, and operationalize large-scale enterprise data solutions on Google Cloud Platform. Responsibilities include implementing data ingestion and curation functions, building production data pipelines, and optimizing them for performance and cost within a hybrid big data architecture.

As a Data Engineer at DEME, you will transform data into high-quality datasets and reports, create and maintain data pipelines, and support the business in data-driven decision-making. You'll work with data scientists and report developers, defining requirements and implementing data solutions on a cloud platform.

The Data Engineer at AlphaGrep will build infrastructure tools to support trading teams, optimize data delivery, and implement internal process improvements. Responsibilities also include assembling data sets, coordinating with global teams, establishing coding patterns, and writing optimized code to ensure adherence to quality standards.

The Oracle FAW/FDI Data Engineer will design and optimize data pipelines, build ETL processes, manage data refreshes, and collaborate with various teams to deliver data-driven solutions for Oracle Cloud ERP and associated data sources.

As a Data Engineer at DEME, you will work on transforming data into high-quality datasets and reports, creating and maintaining data pipelines from various sources. You will collaborate with teams to define requirements, support data scientists, and design modern data solutions on the cloud.

The Data Engineer will develop insights for sales organizations, maintain SAS processes, and enhance KPI reporting. Responsibilities include handling structured and unstructured data and supporting the Revenue Management team to improve customer engagement and commercial performance.

The Data Engineer will design, develop, and maintain data pipelines using modern ELT tools, optimize data models for cloud warehouses, write complex SQL, and automate data processing. The role involves collaboration with data scientists and stakeholders, monitoring data pipeline performance, and contributing to data engineering best practices.

The Associate Big Data Engineer will support the development and deployment of data ingestion processes and ETL code using advanced big data tools. Responsibilities include collaborating with cross-functional teams, optimizing data frameworks, ensuring data security, and operationalizing machine learning solutions under guidance from senior team members.

As a Sr Data Engineer at Mr. Cooper Group, you will design and build data infrastructure and pipelines while optimizing data processing and storage solutions. You will ensure data quality and integrity, collaborate with data scientists and analysts, and troubleshoot data issues.

The Senior Data Engineer at Oportun is responsible for leading the design and implementation of data architectures, developing data pipelines, managing databases, and ensuring data quality. This role includes technical leadership, mentoring junior engineers, collaborating with cross-functional teams, and contributing to software delivery.

As a Senior Data Engineer at Oportun, you will be responsible for designing and maintaining scalable data architectures, developing data pipelines, and overseeing database management. You will also mentor junior engineers, collaborate with cross-functional teams, and ensure data quality and governance. Your role will require strong technical leadership and the ability to optimize performance and reliability in a fast-paced environment.

The Data Engineer will collaborate with various teams to implement data management and security solutions, improve telemetry services, manage data architecture, perform threat analysis, ensure compliance, conduct risk assessments, and train stakeholders. This role requires strong data engineering skills and expertise in cloud environments.

The Senior Data Engineer will design and maintain scalable data platforms, build algorithms for data processing, and integrate new technologies into existing data structures. Collaboration with various teams is essential to achieve project goals, and the role includes managing ingestion platforms and creating custom data applications.

As a Big Data Engineer at Findem, you will build and manage data pipelines and processing solutions using big data and ETL technologies. Responsibilities include data extraction from various sources, building analytical tools, creating data models, and researching new technologies. A strong proficiency in Python and experience in big data tools like Spark and Kafka is essential.

As a Senior Data Engineer, you will design, build, and maintain cloud-native data pipelines and architectures, ensuring data governance and compliance. You will collaborate with product teams to enhance real-time analytics and reporting capabilities, and troubleshoot data workflows for optimal performance.

As a Senior Data Engineer at Oportun, you will design, develop, and maintain complex data platforms, providing technical leadership and mentoring junior engineers. You will oversee data architectures and pipelines, ensuring performance, scalability, and data quality, while managing cross-functional projects and collaborating with stakeholders.