Top Data Engineer Jobs in Delhi

As a Senior Data Engineer at Walmart, you will develop scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams globally to optimize data workflows.

As a Data Engineer, you will create data-driven solutions for leading financial institutions by collaborating with internal teams and clients. You will handle data extraction, analysis, and integration using Demyst's proprietary Python library and AWS infrastructure. Responsibilities include designing scalable code, managing production releases, and supporting clients globally.

As a Data Engineer, you'll be responsible for designing and implementing data pipelines using Spark and Scala while ensuring data quality, optimizing workflows, and integrating data solutions that meet business needs. You'll collaborate with teams to build efficient data processing systems and support data analysis efforts.

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 Sr Cloud Data Engineer will lead data integration initiatives, collaborate with various stakeholders to ensure data alignment, and develop data management standards. Responsibilities include creating and reviewing data deliverables and developing and managing data pipelines and warehouse technologies.

The Data Engineer will design, build, and maintain large-scale data systems using Snowflake and AWS. Responsibilities include developing data pipelines, implementing data warehousing solutions, and collaborating to deliver data products while ensuring data quality and compliance.

As an NLP Data Engineer, you'll design, build, and maintain data pipelines for automated trading systems, manage subsystems, and engage in R&D of machine learning models to enhance execution systems.

The Data Engineer will design, implement, and manage data pipelines using Apache Airflow, migrating legacy SQL Server jobs and automating data processes related to real estate Deeds data. Responsibilities include integrating workflows with AWS Glue, ensuring data quality, and collaborating with various team members for successful project execution.

The Senior Data Engineer will build scalable data models and pipelines in Palantir Foundry, driving data ingestion, transformation, and enabling Power BI visualization. Responsibilities include normalizing data, integrating various tool datasets, automating ETL processes, and collaborating with key stakeholders for high-quality insights.

The Data Engineer will design, develop, and optimize data pipelines for ETL processes, manage cloud infrastructure in AWS, collaborate on data modeling, optimize performance, automate workflows, ensure data quality, and provide troubleshooting support. The role involves working extensively with large datasets and cloud services to build scalable data architectures.

As a Senior Data Engineer, you will design, build, and maintain data pipelines on Google Cloud Platform (GCP). Responsibilities include developing scalable data models, utilizing GCP services for data processing, and ensuring data architecture's performance and reliability while collaborating with cross-functional teams.

The Data Engineer will build and maintain data pipelines and workflows for machine learning research, ensure data quality and availability, utilize databases, and collaborate with ML researchers. Responsibilities include implementing data architectures and supporting the deployment of ML models.

The role involves building and monitoring large-scale data pipelines, transforming data using DBT, and collaborating with the data platform team to solve customer issues using advanced SQL and big data solutions.

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 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.

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.

The Senior Data Engineer at Oportun is responsible for designing and maintaining data architectures and pipelines, optimizing performance, ensuring data quality, and mentoring junior team members while collaborating with various stakeholders. The role involves leading data engineering initiatives and contributing to architectural decisions.