Location : Chennai - HybridExperience : 4+ Years (Min. 2 years hands-on with GCP Data Platforms)Job Summary :We are seeking a high-caliber GCP Data Engineer to design, build, and deploy scalable cloud-based data platforms. This role is focused on architecting sophisticated data pipelines that power our AI and analytics ...
... certifications AWS/Azure/GCP database certifications ITIL certification SAP S4 HANA Key Deliverables The DBA will be responsible for: Stable and highly available database operations. Proactive database performance monitoring and optimization. Reliable and tested database backup and recovery. Effective database disaster-recovery ...
... translate business requirements into technical specifications. - Troubleshoot, debug and resolve complex technical issues. - Mentor and guide junior software engineers, fostering a culture of continuous learning and improvement. - Contribute to OpenGov’s Engineering culture of innovation, leading-edge technology adoption ...
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 ...
... Develop robust APIs and server-side logic using https://jobeax.com/link/JSd7UYCSg572jJDY and Express.js. Database Management: Design, manage, and optimize MongoDB databases, ensuring data integrity and high performance. Deployment: Deploy and maintain web applications on cloud environments such as AWS or Azure. Collaboration: ...
... own end-to-end data pipelines that ingest, transform, and deliver high-volume advertising data from multiple platforms. The role sits at the intersection of data engineering, programmatic advertising, analytics, and attribution. You will work extensively with Snowflake and AWS while contributing to data architecture, real-time ...
... experience with two or more major cloud platforms - AWS, Azure, or GCP, with deep expertise in at least one cloud ecosystem.- Demonstrate strong knowledge of the Databricks platform and its broader product capabilities, including data engineering, analytics, governance, and modern data platform features.- Experience implementing ...
... from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events ...
... working with evolving requirements. Bonus Skills Dev-Assist tool experience (copilot) API integration experience is a plus. Certification in public cloud (Azure or AWS) Typescript programming is a plus. This is an opportunity for a highly motivatedData Engineer to join the Event Streaming and Data Replication platform. We are ...
... Capabilities, and Skills Formal training or certification on software engineering concepts and 3+ years applied experience Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB. Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance. ...
... high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams. Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team - Experience applying your Data ...
... Performance Tuning Spark Performance Optimization Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. - 2–3 years of experience in Data Engineering, NLP Engineering, or AI Data Processing. - Experience working with large-scale datasets and distributed computing frameworks.
... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...
... regulations. This includes implementing safeguards for data handling and ensuring processes are audit-ready. Qualifications: Experience: ~3-7 Years in Database Engineering or Automation: At least two years of experience working in database engineering, automation, or Python scripting, with a focus on improving database operations ...
... the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: As a Principal Engineer, you will help define the technical design and implementation roadmap across multiple solutions and will work with engineering leadership to ensure we resource ...
... requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Senior Data Engineer at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management ...
... cloud resources: establish a baseline for cost per feedback record and drive it down. Partner with product engineers and PMs on upcoming use cases, with SRE on AWS infrastructure, and mentor engineers as the team grows. 8+ years in software engineering, with deep experience designing and operating data-intensive systems ...
... networking — DPDK, RDMA, kernel bypass — for ultra-low-latency quant application infrastructure. Familiarity with Apache Kafka or Solace for real-time market data distribution and event-driven quant platform architecture. AWS Certified DevOps Engineer Professional or Azure DevOps Engineer Expert certification. Certified ...
... Design and implement GenAI systems with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or ...