Top Data Science Jobs in Bengaluru, KA
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.
Build and manage data pipelines, data lake, and Big data processing solutions using various technologies. Develop analytical tools, data models, and processes supporting data transformation. Research and prototype new tools/technologies.
Collaborate with stakeholders to understand data requirements and develop data models. Design data integration processes and data warehousing solutions. Establish data governance policies and procedures. Work with cross-functional teams and stay informed about data modelling trends.
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.
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.
The Senior Data Engineer at Data Ventures plays a key role in developing and executing data strategies, data transformation, integration, and modeling. They work on data pipelines, data modeling, code development, testing, and problem formulation to empower merchants and suppliers with valuable insights.
Join Miles, a rewards app revolutionizing travel rewards. As a Data Engineer, you will build data products, maintain pipelines, analyze new data sources, and collaborate with cross-functional teams. Requires expertise in SQL, Pyspark, Pandas, Tableau, data querying, and stream-processing systems.
The Senior Analytics Engineer at Remote will be responsible for designing, developing, and maintaining dbt models for data transformation and analysis. They will work collaboratively on challenging data problems and make an impact with their work, using modern data tooling such as SQL, Python, and various data platforms.
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.
The Senior Data Engineer will be responsible for building and maintaining data solutions to democratize access to People/HR data within the organization. They will collaborate with various teams to design and build scalable distributed data pipelines and deploy scalable AL/ML solutions. The role requires expertise in Big Data Ecosystem tools, building batch and streaming data pipelines, and working with open-source frameworks for managing large datasets.
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.
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.
JLL Technologies is seeking a Senior Data Engineer to design and develop strategic data solutions for Commercial Real Estate using the latest technologies. Responsibilities include developing data pipelines, analyzing diverse datasets, and enhancing data processing capabilities. Requires 6+ years of experience and a bachelor's degree in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline.
Data Engineer role at JLL Technologies focusing on Informatica MDM expertise, data management, MDM implementation, data modeling, integration skills, data profiling, technical skills, troubleshooting, documentation, and communication. Requires 3-6 years of experience.
Lead Data Engineer role at Glean, responsible for building and managing data engineering group, improving data availability, architecting data transformations, ensuring data quality, and enhancing ETL tooling and processes. Requires 8+ years of data engineering experience.
The Data Engineer will be responsible for developing and delivering code for Haleon's Enterprise Data & Analytics Platform. They will work on integrating components, designing frameworks, and building reusable data solutions to enable faster acquisition and curation of datasets.
As a Data Engineer at H1, you will collaborate with a multidisciplinary team to analyze and interpret medical data, develop algorithms for data processing, work on integrating applications with healthcare IT systems, and stay updated with the latest technology and healthcare sector developments to improve data analysis.
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.
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