... and cross-functional stakeholders. Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. - 10+ years of software engineering experience, including experience with SaaS platforms, distributed systems, enterprise applications, data-intensive systems, or similar complex software environments. ...
... Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance—enabling trusted, scalable, cost-conscious data use. Modern Development Practices - Applies modern engineering practices and tools—such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code—to ...
We're looking for an experienced Azure DevOps Engineer to join our product and cloud deployment engineering team. You'll design, build and support secure, automated deployment pipelines for enterprise SaaS products and customer cloud deployments — spanning everything from day-to-day CI/CD through to production and disaster ...
... shape requirements, and ensure environment readiness and stability Have you got what it takes? B.E./B.Tech in Computer Science, Industrial, or Electronics Engineering 8–11 years of experience as an Automation QA Engineer Strong experience in test planning and execution for scalable applications Hands-on with Playwright ...
... Python libraries, SDKs, and automation components.- Automate data-contract-driven workflows and platform guardrails.- Build and maintain Terraform modules for AWS, EKS, Airflow, and Databricks.- Manage Harness CI/CD pipelines for infrastructure and application workloads.- Support Kubernetes/EKS, Airflow, Databricks/Unity ...
Job Description :We are seeking a highly motivated and experienced Lead Software Development Engineer in Test (SDET) to drive the quality strategy for our AI-driven cloud operations platform. This role will focus on building scalable, reliable, and intelligent test automation systems, enabling high-quality releases in a ...
... 2.0, API keys, JWT), least-privilege scope and service-account design, secrets handling, and a working awareness of how over-permissioned integrations create data exposure. - Strong JavaScript engineering — https://jobeax.com/link/JSd7UYCSg572jJDY on the server, React for user interfaces. This is how you will build. - Comfortable ...
... objectives.- Act as the trusted technical advisor to client technology and business https://jobeax.com/link/EnCWxVsrOA3PLZCF Data & AI Architecture : - Design modern AWS-native data platforms including ingestion, storage, transformation, governance, semantic layer, and data products.- Architect enterprise data products using domain-driven ...
... providing enterprise-grade software development, cloud infrastructure management, and strategic technology consulting to a global clientele. With a focus on engineering excellence and scalable architecture, TLG India empowers businesses to modernize their operations and leverage cutting-edge technology to maintain a competitive ...
... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...
... practices such as JAWS and Level Access. - Experience in mobile testing and web-based application testing. - Ability to write moderate to complex SQL queries for data validation and troubleshooting. - Good understanding of SDLC, defect management processes, and engineering tools such as Jira, Maven, Git, SOAP UI, Silk Central, ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments ...
... designs and code follow architecture and development standards.- Participate in peer reviews and improve overall project quality.- Mentor and guide junior engineers and data scientists.- Work effectively in Agile environments and stay updated with emerging AI https://jobeax.com/link/7GN3qrpSHYYPeLj5 Skills & Qualifications:- ...
... agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents. Role: Agentic AI Engineer Location: All Persistent Location Experience: ...
... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...
... while designing and executing strategies that align workforce capabilities with the agility required to stay ahead of what's next. We are currently hiring for Data Engineer | Digital Analytics expert for global healthcare and health insurance domain. based healthcare provider and health insurance organization delivering ...
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 ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...