... Architect and build scalable frontend systems using modern JavaScript frameworks to ensure a fluid and responsive user experience across all devices.- Mentor junior engineers through rigorous code reviews and design discussions to foster a culture of technical excellence and continuous learning within the team.- Optimize ...
... discussions with business users, BI analysts, data engineers to understand their data needs and translate them into technical solutions. ● Design and implement data pipelines: Architect and build data pipelines using GCP services like Cloud Dataflow, Cloud Dataproc, and BigQuery to ensure efficient data ingestion, transformation, ...
... degree in Computer Science, AI, Electronics, Electrical Engineering, or related field. Strong Python programming with TensorFlow and PyTorch. - Experience with data preprocessing, augmentation, and large-scale image/video datasets. - Hands-on experience with Transformers, RNNs, Vision Transformers (ViT), Transfer Learning, ...
... resolve technical challenges. Support continuous improvement initiatives related to testing methods, certification processes, and laboratory operations. Mentor junior engineers and provide technical expertise across multiple product categories. Ensure accurate documentation and communication of project progress, technical ...
... architecture and data modeling strategies.- Collaborate with engineering, analytics, data science, and business teams to translate requirements into scalable data solutions.- Provide technical leadership, conduct code reviews, and mentor data engineers.- Apply data engineering best practices for performance, scalability, ...
... notes, test evidence, runbooks, solution walkthroughs and delivery updates. - Contribute reusable components, SDKs, accelerators and engineering standards; guide junior team members where required. Skills and attributes Professional experience - 4-8 years of overall professional experience in AI/ML, data engineering, cloud engineering, ...
... Identify areas of engineering improvements to the product and work with product architects and the team to address them. - Should be able to technically guide junior engineers with feature design and review design and implementation done by junior engineers. - Should be able to generate detailed Specs for development via ...
... Experience : - Experience working on enterprise-scale data platforms and high-volume data processing environments.- Experience handling both batch and streaming data workloads.- Exposure to modern data platform architecture and cloud-native data engineering practices.- Experience optimizing AWS infrastructure and data workloads ...
Job Description :Senior Azure Terraform https://jobeax.com/link/S0veizAgyg6cBkoP Overview :We are seeking an experienced Azure Terraform Engineer to design, automate, and manage enterprise-scale Azure cloud environments. The ideal candidate will possess strong expertise in Infrastructure as Code (Terraform), Azure cloud ...
... Oversight :- Provide architectural guidance for ETL/ELT pipelines using Fabric Data Factory and Spark.- Oversee development of PySpark, SQL, and notebook-based data solutions.- Define best practices for data modeling (Star schema, Data Vault, dimensional modeling).- Ensure alignment between data engineering, BI, and AI/ML ...
... have 5+ years of experience in Data engineering. Pyspark with GCP and AWS, Power B I or any other analytical tools are required. - You can build and operate data pipelines, and maintain data storage, all within distributed systems. - You have hands-on experience of data modeling and modern data engineering tools and platforms. ...
... people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions. Job Summary Engineers will utilize knowledge, skill and process ...
... solution options - Manage multiple priorities effectively while ensuring high-quality and timely delivery - Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem - Provide mentorship and technical guidance to junior engineers and administrators where needed - Build ...
... Fintech & Product Advisory - Advise Product, Engineering, and Growth teams on compliant data usage (e.g. KYC, AML, transaction monitoring), Support cross-border data transfer mechanisms Data Subject Rights & Governance - Oversee handling of Data Subject Access Requests (DSARs), consent management, and data lifecycle policies, ...
... 11 years of experience in software development OR Bachelor's of Technology (https://jobeax.com/link/2DENLGgQM7whDhaE) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, ...
We are seeking a Senior GCP Data Engineer to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP) . The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments. ...
Position Overview:We are looking for a Data Engineer with hands-on experience in Apache Airflow, Python, and Jupyter Notebook to build, orchestrate, and maintain robust data pipelines that power our analytics and business decisions. In this role, you will work closely with data teams to clean, transform, and move data reliably ...
... internal and third-party platforms.- Optimize application performance by identifying bottlenecks, conducting code reviews, and implementing advanced caching or database tuning strategies to improve user experience.- Mentor junior engineering talent by fostering a culture of technical rigor, code quality, and adherence to ...
... frameworks (e.g., Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions. - Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark. - Cloud & Distributed ...