Top Data Engineer Jobs in Hyderabad

The Data Engineer will collaborate with senior engineers to build and maintain data ingestion applications, analyze performance issues, and create metrics for performance improvement. Responsibilities include coding in Python, conducting code reviews, and working on process improvements within agile teams using SCRUM methodology.

Building high-performing data platform, developing data tools, building production data pipelines, understanding data enterprise applications, integrating data quality practices, working with databases

The Data Engineer will develop SQL solutions, utilize Azure Data Factory, and work with Databricks using Python and Pyspark. Responsibilities include building data ingestion systems, understanding core Spark concepts, and designing data architectures with strong knowledge in the Azure ecosystem.

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 a Data Engineer, you will design and automate data pipelines, ensuring high-quality data for analytics and reporting. Collaborating with data scientists and visualization teams, you will manage both structured and unstructured data, improve data accessibility, and optimize performance while embracing new technologies.

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.

Data Engineers will design, develop, and implement advanced data-driven solutions for advertising, leading the creation and optimization of data processing pipelines. The role involves writing clean code, collaborating with teams to guide data modeling, and staying updated on industry trends.

The Data Engineer at Dun & Bradstreet works on building and maintaining applications for data ingestion into the Contact Pipeline. Responsibilities include creating and maintaining applications in C# .NET and Microsoft SQL Server, analyzing code performance, and collaborating with team members for improvements. A Bachelor's degree in a related field and 2-5 years of experience in .NET application development and SQL are required.

The Senior Data Engineer will design, implement, and maintain data warehouse environments, manage data flow, and document data engineering processes. They will also collaborate with data scientists and analysts to support data initiatives and ensure high performance and scalability in programming tasks.

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 design, implement, and maintain data pipelines for integrating operational data from Historian systems into enterprise platforms. Responsibilities include data accuracy, developing aggregation processes, and ensuring data integration supports analytics and reporting needs.

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.

Big Data Engineer with 5-6 years of experience leading a team of engineers, implementing Big Data solutions with expertise in Spark, Scala, Airflow, and AWS; collaborating with software R&D teams; and training staff on data resource management.

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.