... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...
... Skills: Proficiency in Data Engineering. Experience with building and managing data pipelines and ETL processes. Strong knowledge of data storage solutions and database management. Familiarity with cloud-based data platforms and distributed computing frameworks. Ability to ensure data quality through validation and monitoring ...
... team members and project owners to develop the required custom applications - The candidate must have a firm understanding of the importance of information security and ensure that Gallagher’s data is protected in accordance with IT Policy and organizational priorities. About you - Design, develop, and test custom applications ...
... recommendations.- Present insights, model outcomes, and business impact to senior stakeholders.- Manage expectations, timelines, dependencies, and delivery priorities across multiple initiatives.5. Data Science Engineering & Deployment:- Collaborate with engineering teams to productionize machine learning models and analytical ...
... design skills. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital ...
... (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 initiatives. You will be responsible for the end-to-end ...
... efficiency, and customer experience. Applicants join a culture focused on innovation, collaboration, and long-term impact. We are seeking an Application Support Engineer with hands-on experience in Java technologies, databases, cloud platforms, and production support. The role involves monitoring applications, resolving incidents, ...
... Should be having good level of Networking knowledge Good to have experience on ubus-cli, controller-container, USP Protocol (TR-369) and TR 181 Data model. Familiarity with prpl (prpl Foundation) and its frameworks Good to have: Experience on AMX libraries and LXC Containers Optional: Should have hands on with network routers ...
... full visibility and control without performance trade-offs. Follow us on LinkedIn and Instagram . The Netskope Channel Solutions Engineer will come on board with the full support of the executive team. This is an amazing opportunity for the sales professional who has a history of completely dominating their territory and ...
Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...
... (good to have): AngularJS or modern Angular for frontend development. - AdTech knowledge (preferred): Digital advertising, real-time bidding, or high-volume data processing. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: ...
... server maintenance activities and coordinate infrastructure upgrades and patching with internal teams and providers. Participate in Major Incident Management activities and drive technical resolution during critical outages. Operate and maintain monitoring and observability tooling to improve service visibility and operational ...
... transformation programs having multi-technology and multi-era telecommunication platforms with alignment and governance of Colt Engineering guidelines What you will do - Data Discovery, Analysis and visualization w.r.t Network Planning of transformation programs having multi-technology and multi-era telecommunication platforms with ...
... Computer Science (or equivalent experience), along with a firm understanding of data structures and scalable software design - 5+ years of relevant software engineering experience designing and implementing scalable SaaS software - Strong ability to write code in Java, JSP, https://jobeax.com/link/JSd7UYCSg572jJDY, XML technologies ...
... statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty ...
... project. You will design, build, and operate high-reliability ETL pipelines across multiple FBA business domains, drive the DBT migration strategy, and establish monitoring and data quality frameworks. You will partner with Data Engineers, Business Analysts, and SMEs to ensure the data foundation meets strict accuracy, freshness, ...
... sentence segmentation, deduplication, and data quality processes. Design and implement data masking, classification, and categorization solutions. Collaborate with AI/ML engineers to prepare datasets for model training and inference. Optimize large-scale data processing workflows for performance, scalability, and cost efficiency. ...
... various data science methods to accelerate Atlassian's growth and influence our product roadmap. Envision, scope, and lead 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 ...
... analysis.- Develop data engineering solutions using Python.- Optimize ETL processes for performance, scalability, and reliability.- Monitor and troubleshoot data pipelines and resolve data quality issues.- Implement best practices for data modeling, database design, and data governance.- Collaborate with data scientists, ...