8,952 aws data engineer jobs in India.

Lead Software Engineer Bangalore, India About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive ...

... software development practices Experience with incident management, service request, problem management, change management, discovery, and configuration management databases (CMDB) Experience designing application deployments on public (AWS, Azure) and hybrid cloud setup Ability to collaborate and communicate effectively with ...

... Qualification : Any Graduation. Work Mode : Hybrid. Employment Type : Contract. Immediate Education & Experience: - Bachelor's degree in computer science, computer engineering, software engineering, or a related area, or equivalent experience, desired. - 5 - 7 years of relevant experience in .Net technologies. Technical Skills: ...

... https://jobeax.com/link/JSd7UYCSg572jJDY, and/or Python.- Define and implement REST/GraphQL APIs, microservices, and event-driven architectures.- Design cloud-native solutions across Azure, AWS, and GCP.- Establish best practices for Docker, Kubernetes, Terraform, and CI/CD.- Ensure solutions meet enterprise requirements for security, performance, scalability, ...

... tracking, and user behavior modeling. Drive architecture decisions on distributed systems, microservices, and cloud-native platforms. Collaborate across product, engineering, DevOps, and data teams to deliver business-critical functionality. Mentor engineers and contribute to engineering excellence through code and design reviews, ...

Full time Local area Immediate start

Work at office Shift work

... solid understanding of React, Redux, CSS/Sass, HTML 5, JavaScript, TypeScript, https://jobeax.com/link/JSd7UYCSg572jJDY, Express. - Have good understanding of AWS, Docker, Datadog, Looker, Jenkins, Splunk Preferred Qualifications: Experience owning complex features or services end-to-end across multiple domains, including ...

... discussions - Good knowledge of Atlassian Jira/Confluence for workflow management and reporting - Awareness of prepaid services or payments domain technologies (e.g., AWS, timeseries data, or payment systems) - Strong understanding of the impact and interplay of systems to ensure cohesive team delivery - Excellent leadership and ...

... Experience with LangChain and LangGraph for LLM orchestration and agentic workflows. - Strong data engineering skills, including ETL/data pipelines and large-scale data processing and analysis using tools such as Pandas and NumPy. - Ability to work closely with backend, platform, and application engineers on model serving, pipeline ...

... Analytics Engineering, Data Engineering, BI, or a related role. - Strong hands-on experience with Snowflake and advanced SQL . - Strong Python experience for data preprocessing, transformation, automation, and validation. - Hands-on experience with dbt for data transformation and analytics engineering. - Strong experience ...

... to drive organizational learning. Lead, mentor, and guide junior team members to support their growth and development. Recruit, train, develop, and supervise data engineering and analyst-level talent. Strong experience in data management, data mining, data analytics, reporting, data product development, and quantitative ...

... domains. - Experience in the data center domain and knowledge of data center products are nice-to-have. Skills - Strong technical fluency: comfortable discussing data architecture, ETL/ELT pipelines, data modeling, and ML/AI concepts with engineering teams. - Strong statistical and data analysis skills, including regressions, ...

... techniques like RAG, transformers, and LLM-based architectures Fine-tune pre-trained LLMs for domain-specific and task-specific use cases Build and maintain data pipelines for training and inference workflows Apply strong software engineering practices to ML and GenAI pipelines Evaluate, analyze, and benchmark model performance ...

... patient behaviour modellingHealthcare recommendation systemsMedical NLP and clinical language understandingData quality and clinical entity modellingFeatures and datasets for foundation and generative AI modelsYou will work closely with ML engineers, clinicians, product managers and data engineers to take ideas from research ...

... Record-to-Report, and Plan-to-Produce — and apply that context to ground AI solutions in real enterprise reality. - Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows. - Collaborate across product, engineering, ...

... Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field. - Proven experience with SQL queries, database management, and data manipulation. - Hands-on experience with Power BI for creating dashboards, visualizations, and reports. - Basic understanding of data modeling and data warehousing ...

... to solve complex problems in credit risk, fraud detection, and personalized financial services. You will collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous financial data into scalable, production-grade models. By deploying high-impact algorithms, you will directly ...

... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)

... of Generative AI applications in their businesses. - Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and ...