Data Engineer (AI, db) in Pune, India

• Remote
• Hybrid
• Full-time

300k - 400k

... encouraged to apply. The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and ...

• Hybrid

... business stakeholders to define data requirements, ensuring that the data warehouse architecture aligns with long-term strategic business objectives.- Mentor junior data engineers and establish best practices for SQL development, code reviews, and version control to maintain high engineering standards across the https://jobeax.com/link/9XbfiWZXvAUTHpWi ...

• On-site

Job Title : Data Engineer (Snowflake & dbt/Matillion Specialist)Location : Hyderabad (On-site, 5 Days/Week)Experience : 3-5 YearsEducation : B.E./B.Tech (Mandatory)About the Role :We are seeking an experienced and results-driven Data Engineer to join our growing Data Engineering team. You will be instrumental in ingesting, ...

• Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 ...

• Remote
• Contract

Job Title: Senior Data Engineer Eperience - 10+ to 18 yrs Location: Remote Type: Contract( Comfortable with a 6-month contractual role) Requires strong hands-E xperience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure ...

... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...

... degree in computer science, Information Technology, Engineering, or a related field. - Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field. - 8+ years of experience in Devops and 3+ years in DBX. - Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow). ...

... policies, spot-instance strategies, DBU budget alerts, and compute right-sizing recommendations to optimise the platform spend within approved budgets. Partner with Data Scientists, AI Engineers, Data Engineers, and Business stakeholders to productionise models rapidly without sacrificing quality or compliance. Establish and evangelise ...

... manage schema evolution, and maintain high data availability . Implement data governance , version control, and CI/CD best practices. Monitor and troubleshoot data pipelines for continuous reliability and efficiency improvements . Why Join KANINI? Join KANINI’s award-winning Data Engineering Team, recognized as the "Outstanding ...

... Produce high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks and by applying industry best practice. Deliver data engineering solutions aligned to core concepts of data design, preparation, transformation, and load. Build and implement data pipelines in distributed data platforms ...

... clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines ...

• Hybrid

... business and technical requirements. Implement secure platforms with data governance in mind. Play a key role in automation and building industry leading solutions against architectural best practices. Deliver data migrations between legacy & modern platforms Design & deliver data warehousing solutions and key data engineering ...

... query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...

... certified data sets Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration. Designs, develops, and implements ETL/ELT/CDC processes using Data Build Tool (DBT) and other native ...

• Hybrid
• Full-time

... multi-tenant, cloud-native apps. Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP). Strong Python/ML stack, REST/gRPC integration, vector DBs. SAP BTP & HANA experience Databricks or similar data pipelines. Nice to Have: Certifications: Data Engineering Certified Professional or similar certifications. ...

... ground up with new age technology to simplify the consumption of data for our customers in various industry verticals. We are looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will work closely with Data Science, Engineering, and Product teams ...

• Full-time

SAS Clinical Full time Worldwide

• Remote
• Hybrid
• On-site

$30 USD

... currently seeking a AWS Data & AI Platform Engineer to join our team in Hyderabad, Karnātaka (IN-KA), India (IN). We are seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments. This role focuses on enabling generative AI and advanced ...

... Angular Runtime / Integration: https://jobeax.com/link/JSd7UYCSg572jJDY, Kafka, Docker, REST & GraphQL Databases: Strong experience with both Relational (Oracle DB) and NoSQL (Mongo DB, Redis DB) databases Development Practices: Test Driven Development (TDD), Agile Scrum or Kanban Leverage AI agents to improve design, development ...