9,868 aws data engineer jobs in India.

... 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 ...

... 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 ...

... 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 ...

... networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Software Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that ...

... 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 ...

... is later, Headout shall either delete your data or inform you that it shall keep it in its database for future roles. In compliance with the relevant privacy laws, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of ...

... entities, attributes, relationships, keys, constraints, and data definitions across enterprise data environments.- Develop and optimize relational and dimensional data models to support reporting, analytics, and business intelligence requirements.- Collaborate with Data Engineers, Architects, BI Developers, Analysts, and business ...

... snowflake schemas), normalized databases, and data warehouse structures. Collaborate with business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards. Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping ...

... PowerBI to present findings in a compelling and understandable manner. - Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability. What we are looking for? - Proficiency in Python, SQL, data science modeling, and statistical analysis. - Strong ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, Engineering, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, ...

... for both SQL and NoSQL databases • Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements • Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets • Ensure consistency, ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...

... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...