351 to 375 of 2,553 Remote SQL Jobs

or a related field. 3+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn More ❯

language that demands strong OO skills (e.g., C# or Java) Experience with Angular Code reviews & Continuous Improvement are paramount Experience with database design and SQL Several years of software design and development experience A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design Previous More ❯

Depending on experience Key skills/experience • 4+ years of experience as a Data Engineer or on a similar role. • Extensive experience with SQL, Amazon Redshift & ideally MySQL. • Extensive experience with visualisation tools, ideally with Amazon QuickSight. • Experience with AWS Glue and the ability to write Python scripts, e.g. for More ❯

/CD tooling to analyse, build, test, and deploy your code and proven experience in their technologies. You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). You have a good understanding of coding best practices and design patterns and experience with code and More ❯

Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for someone who is as comfortable developing AI/ More ❯

Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for someone who is as comfortable developing AI/ More ❯

and enhancement of the customer experience Role Qualification Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience of data warehousing concepts and ETL processes Strong More ❯

and enhancement of the customer experience Role Qualification Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience of data warehousing concepts and ETL processes Strong More ❯

and enhancement of the customer experience Role Qualification ·Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related discipline ·Proven experience of SQL and relational databases ·Familiarity with at least one programming language (e.g. Python, Java, or Scala) ·Proven experience of data warehousing concepts and ETL processes ·Strong More ❯

and enhancement of the customer experience Role Qualification Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience of data warehousing concepts and ETL processes Strong More ❯

of GDPR, SOX & Compliance Working knowledge of Integration & APIs Excellent oral and written communication skills Basic knowledge of html & json desirable Basic knowledge of SQL desirable What we offer: Competitive salary 40 hours a week. Monday - Friday 9am – 5.30pm Hybrid - A mix of office and remote working from home More ❯

of GDPR, SOX & Compliance Working knowledge of Integration & APIs Excellent oral and written communication skills Basic knowledge of html & json desirable Basic knowledge of SQL desirable What we offer: Competitive salary 40 hours a week. Monday - Friday 9am – 5.30pm Hybrid - A mix of office and remote working from home More ❯

While not a requirement, experience of using Golang (GO), and with Typescript, Groovy, GraphQL, Kubernetes, Jenkins, Helm, AWS, Docker, would be advantageous. Knowledge of SQL and NoSQL databases. Interest in cloud technologies and deployment patterns. Good communication skills, both written and spoken. Can-do attitude and proactive approach to problem More ❯

knowledge of multi-processing and multi-threaded programming. Solid understanding of design patterns, SOLID principles, and unit testing practices. 2+ years of experience with SQL, including query optimization and execution plan analysis. Experience with auditing, and CI CD processes, Bitbucket (Github), Team City, setup and create pipelines. Proficiency in data More ❯

field. Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data to understand trends and make decisions. Experience in working with SQL and expertise in Microsoft Excel. Tableau knowledge would be good to have but not a must; this can be learnt on the job. Demonstrated intellectual More ❯

and a track record (at least 2 years) of working with data and building scalable solutions. Working knowledge and 2+ years of experience in SQL and have successfully deployed data-oriented solutions (DW, BI, ETL, etc). 2+ years of experience coding with a scripting language such as Python. Comfortable More ❯

best practices across the team Requirements Strong background in Product Analytics with a focus on user behaviour, feature adoption, and engagement metrics Proficiency in SQL for querying, transforming, and modeling data Strong experience with data visualisation and BI tools (such as Looker, Tableau, Power BI, or Metabase) Experience analysing app More ❯

engineer, or data engineer 3+ years experience with data modeling 2+ years experience with building dashboards and reports in a BI tool Expert level SQL skills with knowledge of at least one programming language (Python, R, ect.) Demonstrated positive collaboration skills with key stakeholders and system users to deliver robust More ❯

field Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data to understand trends and make decisions Experience in working with SQL and expertise in Microsoft Excel Demonstrated intellectual curiosity and interest in solving problems, particularly in understanding how consumers make decisions Excellence in implementation, attention to More ❯

microservices/sub-systems. Experience testing at UI, API as well as back-end levels. Working experience with various types of databases (MongoDB, Oracle, SQL, InfluxDB). Familiarity with monitoring tools like New Relic, Grafana, Prometheus, or Datadog. Knowledge of AWS cloud environments and performance testing in cloud-based architectures. More ❯

field. Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data to understand trends and make decisions. Experience in working with SQL and expertise in Microsoft Excel. Tableau knowledge would be good to have but not a must. This can be learnt on the job. Demonstrated intellectual More ❯

projects across multiple products. Supporting the team with migration to new platforms and adoption of appropriate tooling. Skills & Requirements: Demonstrable coding experience with SAS, SQL, and Python. Experience with Google Cloud Platform (GCP). Previous HSBC experience. Strong stakeholder management skills with the ability to explain complex technical solutions to More ❯

Your future duties and responsibilities: Database Design and Development: Design and implement database schemas, tables, views, indexes, and other database objects. Develop and optimize SQL queries, stored procedures, and functions for data extraction, transformation, and loading (ETL) processes. Create and maintain documentation of database structures and processes. Data Management and More ❯

Experience in a direct-to-consumer, subscription, or ecommerce business. Highly data literate with excellent skills in analyzing data using programmatic methods such as SQL, Python, and data analytics tools such as GA4, Adobe, or Piano. Deep understanding of the customer funnel, including acquisition, retention, and customer segmentation strategies. Proven More ❯

Demonstrated ability to exercise judgement and critical thinking in a scientific discipline Experience implementing and guiding teams toward software development best practices Experience in SQL, NoSQL, Cypher and other big data querying languages Experience with big data frameworks (Hadoop, Spark, Flink etc.) Experience with ML lifecycle management tools (MLflow, Kubeflow More ❯