... engineering workflows by providing structured guidance on secure data flows, storage patterns, logging, and access controls. Innovative - Applies forward-looking data protection strategies to address evolving cloud, collaboration, and SaaS risks, ensuring controls adapt to modern work patterns and distributed environments. ...
... background. Candidates who are already comfortable working in a remote or hybrid environment and are looking for a new project opportunity are encouraged to apply. The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... Analyze large datasets, derive actionable insights, and build scalable analytical workflows.- Design and implement AI-powered applications using LLMs, RAG frameworks, AI Agents, and Prompt Engineering techniques.- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.- ...
... own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: GCP Data Engineer Position: Data Engineer Experience: 5+ Years Work Mode: Hybrid (Capco Office) Design and develop scalable data pipelines using GCP and BigQuery. Build data ingestion pipelines ...
... opportunities. This role is ideal for entry-level candidates with strong analytical skills, curiosity, and an interest in data-driven problem-solving. Full Description Data Eminence is seeking a motivated Data Analyst to join our growing analytics team. In this role, you will work with structured and unstructured data to generate ...
... business hours for planning and monitoring Weekends and out-of-hours work for physical infrastructure changes (with time off provided during the week) As our next Data Centre Engineer, you'll need to have: Attention to detail within a data center. Ability to identify basic parts of network equipment – SFPs, line cards, chassis. ...
... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...
... orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. Required ...
... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...
... building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different enterprise data sources. This is a hands-on role, ...
GCP Data Engineer Mandatory Skills Relevant work experience between 3 to 7 years. Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming ...
... Google Sheets (Advanced) Proficiency in Python or R Experience with Power BI / Tableau / Looker Understanding of statistics and data modeling Basic knowledge of databases and data warehousing Soft Skills: Strong analytical thinking Attention to detail Good communication skills Ability to work independently in a remote setup
... basics; exposure to Power BI or Python is a plus.- Curiosity and rigor; willingness to learn under structured https://jobeax.com/link/E56NWE2gL5VKO5x9 the Team Works :Work flows from business demand intake through discovery, solution design, data foundation, dashboard and AI build, testing and adoption, to delivery governance ...
... Feature Store for Data Science implementations Overall experience of 0-2 yrs. in Advanced Analytics/ Business Intelligence/Data Warehousing Strong Background in Data Transformation Skills – SQL (Mandatory) & Python . Able to understand and align to long term vision of team A phenomenal work environment with massive ownership ...
... using code to clean data, transform, and aggregate data familiar with version control concepts and tools for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can work independently, prioritise across multiple ...
... with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and common data models Strong stakeholder communication skills and ability to work across ...
... proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience with dbt and modern data modelling practices. Data Platforms: Hands-on experience working with Snowflake or comparable cloud data warehouses ...
... have legal authorization to work in the country where this role is based on the first day of employment. Address client inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach ...