Top Data Engineer Jobs in Bengaluru, KA
Design, develop, and maintain big data solutions using technologies such as Hadoop, HDFS, Spark, and Hive. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights. Implement and optimize data storage and retrieval strategies. Maintain technical documentation of big data solutions and processes.
The Sr. Data Engineer at Elanco will drive data pipeline and data product delivery through data architecture, modeling, design, and development on premise and/or Microsoft Azure cloud. Responsibilities include providing data engineering expertise on Azure, participating in data architecture discussions, developing data engineering methods, and staying updated with new technologies.
_0.png)
Lead Data Engineer with 7+ years of experience in managing and optimizing big data pipelines, architectures, and data sets. Proficient in Azure data factory, Azure Synapse, Power Apps, Logic Apps, relational SQL databases, and visualization tools like PowerBI and Tableau. Experience working in a dynamic environment and supporting cross-functional teams. Good academic track record preferred.
Data Engineer role in Real Estate operations team focusing on data & management information to drive strategic business decisions. Responsible for data modeling, visualization, and reporting for RE professionals using Power BI and ADF. Collaborate with stakeholders, lead process improvements, and maintain complex data models.
Experienced Lead Data Engineer needed to build and maintain data pipelines, ensure data quality, and collaborate with data analysts to drive insights. Technical leader guiding data infrastructure growth and data-driven decision-making.
Seeking a Senior Data Engineer to work on building the next generation of big data solutions at Index Exchange, focusing on real-time streaming and batch analytical capabilities. The role involves managing and making vast amounts of data available for reporting, analytics, and machine model training.
Looking for a junior Data Science developer proficient in Python, R, Excel, and SQL to build Analytics for Data Science applications. Responsibilities include developing and implementing Data Science product components and troubleshooting application codes.
Join as a Senior Data Engineer to build integrations and data pipelines for the healthcare ecosystem. Leverage cloud-based EHR solutions and work with a wide network of providers. Mentor junior developers, ensure data quality, and implement best practices for data engineering on AWS cloud. Collaborate with cross-functional teams and drive technical decisions.
Senior Data Engineer role in Bangalore, India at Agilon Health India Private Limited. Responsible for designing and developing data pipelines and integrating data from various sources for analysis and reporting purposes.
Design and implement features for ingesting, storing, and manipulating large data sets for cybersecurity use-cases. Collaborate with data scientists, threat researchers, and network experts. Build production quality solutions and work with multiple teams.
Assist in building and testing Cloud-based applications, provide cloud integration development support, write unit and integration tests, collaborate with Data Science, and align development objectives with business goals.
As an Associate Software Developer at Nielsen, you will focus on analyzing, developing, testing, and supporting highly complex application software build on Big Data. Your responsibilities include building and testing cloud-based applications, developing reusable code components, providing cloud integration support, writing tests, collaborating with cross-functional teams, and more.
Lead the design and implementation of scalable data architectures, develop and optimize data pipelines, manage databases, ensure data quality and governance, provide mentorship and leadership, collaborate with stakeholders, and monitor performance for a digital banking platform.
As a Senior Data Engineer, you will be responsible for designing and building data pipelines, supporting analytical needs, and collaborating with various teams to drive business insights. The role requires expertise in data engineering, cloud platforms, and big data tools.
Aryng is seeking a Senior Data Engineer with 5+ years of experience in developing enterprise-class distributed data engineering solutions on the cloud. Responsibilities include implementing data pipelines, working with cloud technologies, and collaborating with clients. Must have a B.S. in computer science or related field. Knowledge in Python, SQL, Big Query, and other data engineering tools is required.
Experienced Data Engineer specializing in Generative AI to establish AI infrastructure, collaborate with Data Scientists, own AI model integration, ensure data governance, and optimize performance. Will innovate in healthcare sector and deploy AI solutions to AWS cloud platform.
Principle Data and GenAI Engineer role at GSK involves contributing to the construction of the development data fabric and data strategy. Responsibilities include using Azure cloud services, GSK data platform tools, and collaborating with other team members to create technical solutions in alignment with agile and DevOps principles. The role also includes working with cutting-edge technologies like large language models, Langchain, and RAG.
Build scalable solutions for Cloud and on-premises, emphasize quality and cost-effectiveness. Develop end-to-end solutions in Big Data analytics framework. Collaborate with Data Science and product owners. Provide mentorship and stay informed about latest technology trends.
The Big Data Engineers at this company work on building horizontally scalable applications using distributed technologies like NoSQL, Hadoop, and Spark. They are responsible for evaluating, developing, maintaining, and testing big data solutions for advanced analytics projects, as well as pre-processing and reporting workflows. The role also involves testing machine learning models on Big Data and deploying them for ongoing scoring and prediction.
Lead a technical team of 5-10 engineers in the data platform team, involving people management, project management, technical roadmap planning, oncall and operational excellence, and hands-on coding and system design for selected features in the project.
Lead the technical roadmap for the data platform team, mentor junior engineers, code and design new features, and ensure operational excellence. Must have expertise in Java, Linux, SQL, PostgreSQL, and preferable knowledge in Kubernetes, Google Cloud Platform, BigQuery, and Apache Flink.
Join athenahealth as a Senior Data Engineer to design, build, and maintain data pipelines for healthcare data. Collaborate with data scientists and business stakeholders to develop scalable and efficient data solutions. Stay updated on healthcare data analytics technologies and work in a collaborative team environment.
Responsible for end-to-end design and development of optimized, scalable Big Data Pipelines for products and applications. Collaborate with various teams and stakeholders to drive high-performance systems. Identify and evangelize frameworks and methodologies for building efficient solutions.
Software Data Engineer responsible for data pipelines and real-time processing in Airflow. Collaborate with team leads and developers to design and develop functional pipelines. Optimize scalable pipelines in the cloud and recommend system solutions.
Gather business and functional requirements, develop data solutions, operate high-performance data structures, lead data and analytics efforts, mentor projects, drive innovation, and communicate data value.
Top Bengaluru, KA Companies Hiring Data Engineers
See All
All Filters
No Results
No Results
