Azure) integration and data storage mechanisms Ability to convey complex technical ideas/solutions to both business and technical colleagues Significant experience with MS SQL Optional/Beneficial Ability to produce detailed cost estimate breakdowns for Azure resource costs based on transactions and data volume sizing Experience of defining and more »
Computer Science, Engineering, or a related field, or equivalent experience. Advanced knowledge of Java and extensive experience with Spring Boot are necessary. Proficient with SQL database design, implementation and optimization. Experience with Java ORMs (e.g. Hibernate Envers). Experience with Docker and a solid understanding of containerization principles. Advanced proficiency more »
Master's degree in a quantitative field with substantial analytics experience, or an MBA with relevant experience. Proficiency in data analysis tools (e.g., Excel, SQL, Python), with a deep understanding of data warehouse architecture. Demonstrated ability in developing pricing systems and strategies in marketplace or SaaS businesses. Experience leading teams more »
supportive environment. What you'll need Extensive experience working with TypeScript on modern frameworks (React, NodeJS) in a serverless environment Extensive experience working with SQL and NoSQL databases, from schema design to production-level optimisations Expert level experience in designing and managing large, scalable, high throughput, highly available and fault more »
PMP among othersAwareness of emerging technology and trends within Financial ServicesExperience in process improvement and Target Operating Model designProficiency in Jira and Confluence toolsBasic SQL skillsConnect to your business - ConsultingDistinctive thinking, deep expertise, and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want more »
applications etc. - Working knowledge in a technology domain, distributed web or mobile applications, DevOps, serverless, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc. - Experience presenting in one to many public forums. Amazon is an equal opportunities employer. more »
and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL more »
Posted:8d agoLocation:London, Greater London, South East, EnglandJob Ref:BH-44858-1Salary:110000 - 125000 per annum, Benefits: 20% bonusExpiry date:6/13/2024This a great opportunity to remain technically hands whilst coaching and mentoring all members more »
volume services and know how to deploy and monitor them in production Deep understanding of data structures, algorithms, and software design principles Expertise in SQL queries, database performance tuning, and scalable schema design Hands-on experience with data-processing systems (e.g., Lambda architecture, Kafka, RabbitMQ, ELK) Storage solutions (Cassandra, Postgres more »
engineer. The role will be hybrid with 3x days per week on-site in London. Salary Up-to £80,000. Analytics Engineer Experience & Tech SQL Python Experience with cloud platforms such as GCP or Azure. Experience with Big Query & Synapse. Experience with Data visualisation tools such as D3. Experience in more »
in NLP and LLM s. Experience in deploying models into production in a cloud environment. Experience working in a startup preferred. Proficient in Python, SQL, and AWS/GCP/Azure. We offer: Competitive salary of £70,000 £90,000. Hybrid work arrangement. Benefits package available. To apply more »
skills and teamwork capability and an independent and very precise way of working You have great passion for IT; Knowledge about hosting, cloud, infrastructure, SQL, databases, XML or development skills are welcome You enjoy tackling all the challenges in the project in order to deliver and implement the customers requirements more »
South West London, London, United Kingdom Hybrid / WFH Options
Interact Consulting Limited
principles, ensuring scalability, reliability, and performance. Demonstrate proficiency in multiple programming languages, with a strong emphasis on being language agnostic and polyglot. Expertise in SQL and experience with data access layers, ensuring efficient data retrieval and manipulation. Mentor and guide a team of engineers, fostering a collaborative and innovative environment. more »
interactions. - Ability to write clean, well-documented, and efficient code. **Nice to have but not required Skills and Experience:** - Previous experience with Flask - No SQL Databases (Mongo) - Previous Integrations with Business Central & One Drive - Understanding of AWS S3 storage solutions - Experience with Twilio and/or SendGrid integration. Please get more »
Cluster, In-house Filesystem development & third-party Filesystem support, Web-based GUIs, and other infrastructure and applications dedicated to maintaining the Cluster, such as SQL databases and Python scripts. Requirements Excellent Computer Science Fundamentals (i.e. Algorithms & Data Structures) ideally backed up by a strong Undergraduate degree. Proficiency in at least more »
including S3, SQS, RDS, CloudWatch Python application or Java expert, but keen polyglot - very confident in at least one other mainstream language Comfortable with SQL and noSQL databases - both populating and querying Experience working with non-technical users - gathering and refining complex requirements. Salary up to £100,000 Hays Specialist more »
of MS office (particularly excel) Customer service orientation Communicating complex concepts in clear concise ways A high-level problem solver Desired skills: Knowledge of SQL and/or Visual Basic RCA certification/Analytics certification. Fluency in a 2nd languagemore »
on different projectsHands-on Salesforce configuration skills along with skills in advanced administration, building flows, permissions and profilesGood understanding of query languages such as SQL and SOQL is desirableFamiliarity with Salesforce Data Loader and third-party integration tools such as Jitterbit (or similar) would be beneficialYour experience will be backed more »
Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery concepts #LI-Hybrid What you more »
complex problems, take the initiative, and identify creative solutions to deliver outcomes in the face of obstacles. Knowledge of common data science tools around SQL-based data warehousing (eg. Snowflake, Databricks, DBT), BI tools (eg. Tableau, Looker), workflow orchestration, and ML Ops. Excellent spoken and written English skills. Fluency with more »
general understanding, & distinguish user requests from the underlying true needs Knowledge of Google Workspace & Excel Knowledge of Google Apps Scripts & Looker Studio Knowledge of SQL & Python Bachelor's degree in a relevant field, A postgraduate degree and/or record of academic achievement is also desirable Cover Genius not only more »
you ll need 3 years of experience in leading data engineering practices to deliver data solutions and products in an autonomous environment. 5 years SQL experience developing data pipelines in a cloud based database environment (e.g.BigQuery), including scheduling your own queries (e.g. using Airflow or Stitch) 3 years experience delivering more »
of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as more »
