Top Data Engineer Jobs in Bengaluru, KA
Design, build, and manage data pipelines using Apache Spark and Scala. Utilize Google Cloud Platform for large-scale data processing systems. Analyze complex data sets and implement internal process improvements. Provide technical leadership and coaching to junior team members.
Designing and building data models, developing data ingestion systems, implementing data storage solutions, ensuring data consistency, collaborating with cross-functional teams, and possessing proficiency in Python, big data, and Databricks.
Lead Data Engineer role at JLL Technologies in Bangalore. Responsible for designing and implementing enhancements, maintenance, and support for applications. Must have strong experience in DW/BI technologies, Python, PySpark, and SQL. Requires 12+ years of experience and a college degree in Computer Science or related field. Must have project leadership capacity and excellent technical skills.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, leading a team of data engineers, and contributing to overall data strategy. Requires expertise in Microsoft data technologies, strong data modelling skills, and experience in Agile environments.
Join Cognite's Data Engineering team within the Global Customer Success organization to work on delivering successful and scalable projects in heavy asset industries. Collaborate with domain and industry experts to drive product adoption and unlock insights from hidden data.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
Seeking a Senior Data Engineer to build Procore's next-generation construction data platform. Responsibilities include designing and implementing data platforms, models, and pipelines, collaborating with teams, staying updated on data technology trends, and mentoring teammates. Requires 6+ years of experience with cloud-based data platforms, data warehouses, MPP query engines, and data modeling. Strong skills in Python, Java, Scala, and various data technologies.
The Senior Data Engineer will be responsible for building and maintaining an advanced data platform for data-driven decision-making in the construction industry. This role involves creating scalable data pipelines, optimizing performance, mentoring junior engineers, and collaborating with cross-functional teams to deliver innovative solutions.
Design, develop, and maintain data pipelines and platforms, ensuring data-driven decision making and insights. Collaborate with stakeholders to understand data requirements and deliver solutions. Research new data technologies and trends for continuous improvement.
Maintain and troubleshoot the ELK stack for logging, searching, and incident response. Design, deploy, and support custom tools and integrations for automation. Monitor and tune ELK clusters. Create and maintain dashboards and alerts. Experience with IT service management and data visualization in ELK.
Lead data engineer responsible for designing, building, and maintaining data infrastructure systems at ASAPP. Must have extensive experience in software engineering and data engineering, designing data models, ETL processes, and working with cloud data warehouse solutions. The role involves leading projects, developing data pipelines, and collaborating with various stakeholders to improve data infrastructure and machine learning capabilities.
Responsible for expanding data and data pipeline architecture, optimizing data flow, supporting various teams on data initiatives, and ensuring optimal data delivery architecture. Collaborate with stakeholders for data-related technical support and building data tools for analytics.
Develop robust and scalable backend services and Databricks jobs using Python. Collaborate with cross-functional teams to translate requirements into technical solutions. Optimize application performance and scalability. Requires 4+ years of experience, a Bachelor's degree in computer science or related field, excellent Python skills, and good communication skills.
The Principal Data Engineer will lead the development and deployment of advanced data science models and algorithms, provide leadership and mentorship to a team, collaborate with stakeholders, stay current with data science advancements, analyze data, and manage data science projects.
Staff Data Engineer responsible for designing and developing data-driven frameworks and applications on the Cloud platform. Must have extensive experience in developing enterprise-scale Big Data solutions and working with AWS tools. Responsibilities include participating in the full software lifecycle, interacting with teams to determine data dependencies, mentoring junior members, and collaborating with product management teams.
Data Engineer role at Procore to work on next-generation global data infrastructure, build data pipelines, develop data visualizations, and collaborate with cross-functional teams to deliver actionable insights from data to the business.
Design and build data pipelines for ingesting data into BigQuery, monitor and troubleshoot pipelines and infrastructure for high availability and performance.
Design, develop, test, deploy, maintain, and improve data integration pipeline using Python and AWS Cloud technologies. Strong experience with database optimization, source control systems, and CI tools.
Lead Data Architect responsible for driving the business and technical decisions to ensure sustainable and maintainable data products. Key responsibilities include defining data architecture, engaging with stakeholders, and developing innovative data products. Qualifications include a graduate or post-graduate degree in Data related specializations and 12+ years of experience as an architect in data solutions.
The employee will be responsible for the creation, scheduling, orchestration, and management of cloud infrastructure services. They will work on various aspects of information retrieval, integrate search solutions with data sources, and collaborate closely with cross-functional teams to create high-performance solutions.
Staff Data Engineer role at Procore's Data Division focused on building the next-generation construction data platform, collaborating with teams to develop data platform capabilities for analytics and machine learning, and influencing the product roadmap with innovative data solutions.
Work as a Senior Data Engineer at CommBank in Bangalore, contributing to the advancement of data platforms and solving complex data problems. Responsibilities include problem-solving, communication, and promoting a risk mindset. Required skills include Data Engineering principles, Ab Initio, Docker, AWS, SQL, Java, Python, and RESTful APIs.
Design, develop, and operationalize complex/large scale data management projects using Azure and cloud services. Mentor junior team members, write test cases, and implement CI/CD pipelines. Re-engineer and enhance existing code to meet customer requirements.
Join our Revenue Engineering team as a Senior Data Engineer to build and support data infrastructure for revenue generating teams across BlueVine. Collaborate with various business functions to leverage data and automation for improved efficiency and productivity.
The Sr Data Engineer at Syniverse is responsible for optimizing data systems, building data pipelines, and working on data initiatives with a focus on performance and uptime metrics. This role involves collaborating with various teams to implement and enhance analytic product features.
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