3,717 data science remote jobs in India.

... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...

... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...

... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...

Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...

... operating in environments with variable network connectivity. Data Architecture & Edge Ecosystem Design Design, build, and maintain a highly resilient, scalable data architecture capable of syncing, storing, and processing massive datasets from both centralized cloud services and distributed edge devices (battery swap stations ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

... or equivalent platforms where ML and GenAI capabilities coexist Experience contributing reusable frameworks, MLOps standards, internal accelerators, or shared data science utilities Working knowledge of distributed training, large-scale data processing, and performance optimization in production environments Experience with ...

... can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities. Work with clients to translate ...

... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... members, and stay updated on the latest data engineering trends. Must-Have Qualifications: Education: Bachelor's or Master's degree in Computer Science, IT, Data Science, Mathematics, or a related field (Recent graduates from batch [Year] are welcome). Python: Solid foundational knowledge of Python programming (data structures, ...

... Data Catalog, DataHub, or Amundsen is a plus. - Familiarity with Docker, ECS, or EKS and containerised deployments is desirable. - Basic understanding of AI/ML data requirements and workflows is an advantage. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline is ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

... https://jobeax.com/link/8om4ubga9gvjbUNE Contact: View phone number on https://jobeax.com/link/8om4ubga9gvjbUNE #Hiring #DataEngineer #SeniorDataEngineer #AzureDatabricks #Databricks #PySpark #PythonDeveloper #AzureCloud #DataEngineering #BigData #ADF #ADLS #SQL #BangaloreJobs #TechHiring #AndorTech #HiringNow #DataPlatform ...

... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...

... others. Required qualifications and experience: - Bachelor's degree in a relevant field, such as Life Sciences or Healthcare. - Proven experience in clinical data management within the pharmaceutical or biotechnology industry. - Familiarity with data management software and systems (e.g., Medidata, Oracle RDC, or similar). ...

Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...

... markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within ...

... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...