Top Data Engineer Jobs in Delhi

As a Senior Data Engineer, you will design and develop data pipelines, work with various big data technologies, implement scheduling tools, and manage version control. You will be responsible for debugging and collaborating with the development team to streamline processes in a fast-paced banking environment.

As a Data Engineer, you will design, build, and maintain data pipelines and architectures to support machine learning and business needs. You will ensure data quality and implement optimization for data delivery, collaborating with teams to integrate data capabilities.

As a Senior Data Engineer, you will build data solutions and applications that influence key business decisions, manage data models/pipelines, improve data quality, and partner with data analytics teams to enable data-driven insights. You will also be responsible for architectural design, data acquisition, and collaborating with various stakeholders.

As a Data Engineer at FairMoney, you will design and maintain data ingestion and integration solutions, build data orchestration pipelines using Airflow, ensure data quality and reliability, and assist business stakeholders in understanding and leveraging data for analytics and decision-making.

The Data Engineer will collaborate with finance teams and stakeholders to extract insights, build data pipelines, and develop models to enhance sales performance and financial processes. Responsibilities also include defining KPIs and ensuring data-driven decision-making.

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.

The Data Engineer will build infrastructure tools and applications to support trading teams, automate processes, optimize data delivery, and ensure adherence to coding standards. They will also coordinate with global teams, assemble complex data sets, and implement internal process improvements.

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.

As a Data Engineer at DEME, you will transform data into high quality datasets and reports, create and maintain data pipelines, and develop data models. You will collaborate with various teams to enable data-driven decisions and support data-related projects.

The Lead QA Engineer oversees the quality assurance process, leads the QA team, develops test plans, and ensures product quality and functionality through manual and automated testing.

The Senior Data Engineer is responsible for building high-performance applications and scalable data solutions using Python. Key tasks include developing and maintaining ETL pipelines, integrating APIs, optimizing SQL queries, and collaborating with cross-functional teams to deliver data-driven solutions.

The Data Engineer is responsible for designing, developing, and maintaining data infrastructure, optimizing performance, collaborating with cross-functional teams, and supporting data-driven decision making. This role requires expertise in data warehousing, ETL processes, and cloud technologies, with a focus on building scalable data pipelines and systems.

The Lead Data Engineer will design and maintain scalable ETL/ELT pipelines on GCP, optimize data workflows, and engage with stakeholders to deliver effective data solutions.

The Data Engineer will design, build, and operationalize large-scale data solutions using Google Cloud Platform tools. Responsibilities include creating data transformation functions, developing production data pipelines utilizing Python, and optimizing performance and costs in a hybrid big data architecture.

The Senior Data Engineer at Allata will enhance data reliability and quality by combining data from various sources into consistent, machine-readable formats. Responsibilities also include developing and testing architectures for data extraction and transformation, assisting in predictive or prescriptive modeling, and applying resourcefulness to solve complex data challenges.

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.