Top Data Engineer Jobs in Bengaluru
Responsibilities include quote creation for spare parts, communication with suppliers/vendors/customers, validating customer's commercial information, and inquiring about technical information of materials.
The Staff Data Engineer role at Oportun involves providing technical leadership, mentoring the data engineering team, designing complex data architectures, developing data pipelines, optimizing databases, and ensuring scalability and performance to meet business objectives.
As a Senior Data Engineer at Procore, you will build and maintain scalable data pipelines and microservices, integrate data from multiple sources, optimize performance, and mentor junior engineers, all within a service-oriented architecture.
As a Senior Data Engineer, you will design and implement a next-generation data platform, define and implement data models and pipelines for analytics, and collaborate across teams to enhance product roadmaps and solutions. You’ll mentor teammates and stay current with data technology trends.
The Senior Data Engineer will design, develop, and maintain data architectures and pipelines to enhance business decisions and drive digital transformation. Responsibilities include data analysis, implementing robust systems, building data products, and optimizing performance while collaborating within an agile team.
The Senior Data Engineer will focus on database design and development, primarily using MS SQL Server and Azure technologies. Responsibilities include ETL processes, data modeling, and optimization, collaborating in an Agile environment to deliver solutions. The role requires strong analytical skills and the ability to communicate effectively across the organization.
The Lead Data Engineer will design, build and maintain data pipelines and architectures using Azure services. Key responsibilities include working with Azure Data Factory, Databricks, and Data Lake Storage to manage data flow and ensure seamless data accessibility while adhering to security compliance. The role involves collaboration with stakeholders, mentoring junior engineers, and optimizing data processes for performance and cost-efficiency.
As a Senior Big Data Developer at Nielsen, you will develop and enhance software solutions for metadata in various verticals, using open source technologies. You will design scalable applications, work with teams to deliver software iteratively, and collaborate with multiple departments to refine offerings.
The Senior Data Engineer will design, implement, and optimize data pipelines, ETL processes, and data integration solutions using technologies such as Python, Spark, SQL, Snowflake, and dbt. This role involves understanding operational data needs within supply chain and manufacturing, collaborating with cross-functional teams, and ensuring data quality and efficiency in data processing.
As a Senior Data Engineer at MiQ, you will design and develop scalable big data pipelines while collaborating with product leads and teams in engineering, data science, and analytics. You'll enhance frameworks for high-performance systems and drive the adoption of best practices in software engineering.
The Lead Data Engineer will integrate and analyze diverse biological, clinical, and imaging datasets in drug discovery research, design AI models aligned with scientific hypotheses, and collaborate with cross-functional teams while using agile project management principles to drive progress.
The Senior Data Engineer at Index Exchange will develop the next generation of big data solutions, focusing on real-time streaming and batch processing. The role involves building tools and infrastructure to manage vast amounts of auction-related data for internal and external reporting, analytics, and machine learning applications. Candidates should thrive in an Agile environment and be innovative in tackling challenges.
As a Staff Data Engineer, you will lead the data engineering strategy, architect and build data pipelines, ensure data integrity and quality, and mentor a team of data engineers. You will design streaming solutions, oversee NoSQL databases, and collaborate with cross-functional teams.
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.
The Senior Data Engineer will develop, monitor, and maintain data pipelines within Bosch's hybrid cloud data platform, collaborating with architects and technical leadership. Responsibilities include designing applications and data models, assembling complex data sets, identifying improvements, and optimizing data delivery.
As a Senior Data Engineer at Poppulo, you will develop core data services, design and build solutions for data ingestion, ETL, and data storage, work closely with analytics and product teams, and help evolve data science models into new product features.
The Azure Big Data Engineer will implement end-to-end Hadoop projects utilizing MS-Azure services, including HDInsights and Databricks. The role requires expertise in SparkCore, PySpark, and Scala, as well as experience with data processing frameworks and databases like PostgreSQL and NoSQL.
The Senior Data Engineer will be responsible for delivering data solutions using Databricks, constructing data pipelines with PySpark, and leveraging cloud-based technologies for data integration and management. The role involves optimizing SQL queries and implementing data integration projects, with experience in AWS and orchestration tools considered a plus.
The Senior Data Engineer will design and implement data pipelines, manage data integration across systems, and maintain ETL workflows while collaborating with stakeholders to meet business requirements. Responsibilities include data modeling, production support of ETL processes, and ensuring data integrity and quality for BI reporting and analytics.
The Sr. Data Engineer will lead the development of scalable data pipelines and manage data infrastructure for AI initiatives. Responsibilities include integration of AI models in business processes, collaborating with data scientists, and ensuring data governance. The role involves optimizing data storage and troubleshooting issues, while also supporting the deployment of AI solutions on AWS.
The Senior Data Engineer will design, develop, and maintain secure data pipelines and processes, lead the architecture of data models and integrations, and collaborate with teams to optimize data solutions. They will also maintain data infrastructure and support visualization tools like Power BI, ensuring reliable access to data insights.
The Senior Data Engineer will design and develop data pipelines, automation, and visualization tools for AI and analytics solutions. Responsibilities include guiding the expansion of data products, partnering with infrastructure teams, and collaborating with AI/ML engineers to enhance data models and fast deployment.
The Staff Data Engineer will design and develop data pipelines and visualization tools to support AI and analytics solutions, guide data product expansion, and collaborate on data architecture and model training with both technical and business teams.
As a Staff Data Engineer at Analog Devices, you will lead efforts in designing and developing master data platforms, data pipelines, and integration with business systems. You will work with various tools and technologies, ensure high-quality data solutions, and provide insights to business leaders while mentoring other data professionals.
Top Bengaluru, KA Companies Hiring Data Engineers
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