... end to end. No one currently rehearses database restores, owns index and capacity strategy, or reviews schema changes before they reach production. Because the data includes client money movement and KYC records, this is a compliance exposure as well as an engineering one. Own backup, point-in-time recovery and retention ...
... AI/ML https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Build, train, and optimize Machine Learning and AI models- Work on data analysis, feature engineering, and model evaluation- Develop scalable AI/ML pipelines and workflows- Work with structured and unstructured datasets- Collaborate with engineering and product ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... cloud-based data platforms and services, preferably Google Cloud Platform (GCP ) Hands-on experience with GCP managed services such as: Google Cloud Storage, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Composer, BigQuery, BigTable . Required Skills - 4–8 years of experience i n Data Engineering / Big Data Engineering - Strong ...
... quality. Big Data - Big Data - Pyspark Database - Database Programming - SQL Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark Data & AI - Data Engineering - Data Quality & Validation Data & AI - Data Engineering - Apache Kafka Big Data - Big Data - Azure databricks Data Science and Machine ...
... Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. - Proven ability to lead data engineering teams and mentor junior engineers. It Would Be Great If You Have Experience working with IoT or real-time streaming data. Knowledge of data governance ...
... analytics and machine learning models. Oversee and manage big data technologies and frameworks, including Hadoop, Spark, and Apache Airflow, to handle large-scale data processing tasks. Optimize, troubleshoot, and enhance the performance, scalability, and reliability of data processing pipelines. Mentor junior engineers and ...
... microservices.- Build cloud-native applications leveraging AWS services.- Design secure and efficient integrations across AWS components.- Collaborate with frontend, data engineering, and DevOps teams to deliver end-to-end solutions.- Design scalable architectures following distributed system principles.- Optimize application performance, ...
... safety at scale. - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Real estate, MLS, CRM, MarTech, or other high-volume data-driven SaaS domain experience. Familiarity with real estate data standards (RESO Data Dictionary, RESO Web API, RETS). AWS infrastructure literacy — ability to ...
... ability to deal with ambiguity by driving clarity for the team. You will help build an intelligent inventory system that models and manages a variety of critical engineering assets with rich metadata and relationships, and an extensible platform that enables integration with a growing number of engineering tools and processes. ...
... work experience. - Experience in building scalable products with preferably big data. - Excellent Python coding skills (Mandatory) - Experience in Apache spark, Data Lake and other Big data technologies. - Experience in either Data Warehouses or Relational Database is mandatory. - Experience in AWS cloud Mandatory Skills : ...
... responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various ...
... Quality, Data Modelling etc. Ensure projects are delivered on time and to the satisfaction of the stakeholder Experience required - 7+ years of experience as a data engineer/similar - Significant experience with Azure services and worked on Azure data projects - Experience with Azure cloud services: ADF, ADB, Azure SQL server ...
... computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance ...
... disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and ...
... leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks ...
... journeys through:- AI Application Development- Data, Digital and Cloud acceleration using AI- AI Native Product EngineeringWe are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web ...
Role Overview MontyCloud is seeking a highly skilled Senior Engineer - Platform Engineering with a robust background in Python programming and extensive experience with AWS services. With at least 6years of relevant experience, the ideal candidate will be an expert in serverless development and event-driven architecture ...
... materials, product, and process design. - Understands Should Costing, Zero based, parametric cost modelling and cost benchmarking. - Learn and practice use of value engineering tools/Analysis and templates to drive consistency across all efforts and produce outputs throughout the agile cost sprint execution. - Liaise with various ...
... testing (TID/SEE), and EMC compliance. Technical Mentorship: Champion engineering best practices, lead rigorous design reviews, and mentor junior hardware engineers across aerospace programs. Bachelor’s or Master’s degree in Electrical Engineering, Electronics & Communication, Computer Engineering, or a related discipline. ...