76 to 100 of 818 Scala Jobs

innovate together. Enjoy working with AI to benefit the company, your team and yourself. What we are looking forHands-on production-engineering experience with Scala, Java or Python. Ability to design, build, and maintain distributed data systems in a cloud-based environment. Hands-on experience with big data frameworks such ...

Agentic or AI-enabled engineering workflows, LLM integrations or AI coding tools Playwright/Selenium Docker/Kubernetes Terraform/Bicep Agile development environments Scala, PowerShell and YAML The teamYou’ll join a highly technical, collaborative team working closely with a growing Data Science function. Ideally you’ll spend around ...

concepts. Experience of Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi-platform experience. Team building and leading. You must be: Willing to work on client sites, potentially for extended periods. ...

team Nice to Have Prior consulting or client-facing delivery experience Familiarity with dbt, Fivetran, Matillion, or similar tooling Programming in Python, Java, or Scala Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP) Exposure to DataOps, CI/CD, and infrastructure-as-code Benefits Hybrid/remote working ...

tooling, documentation and support for data scientists and software engineers. Required Skills & Experience Strong software engineering skills in Python and/or Java/Scala, with clean coding, testing and code review practices. Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, or equivalent. Proven ...

mentoring teams of engineers to deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language ...

mentoring teams of engineers to deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language ...

leading or mentoring teams of engineers to deliver high-quality scalable data solutions.Technical Expertise• Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.• Strong SQL and Python (or equivalent ...

building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude ...

Exploratory Data Analysis (EDA) Experience with Jira Experience with Confluence Experience developing in a Linux operating environment Highly Desired Skills: Experience with Java and Scala Experience with Lucene, JEXL, SQL, JSON Random Forest and ability to do feature development for Random Forest Experience with Machine Learning Model building and monitoring ...

ADLS). Azure SQL Database and SQL Server. Microsoft Fabric (preferred). Advanced SQL development and performance tuning skills. Experience with Python, PySpark, or Scala for data processing. Knowledge of data warehousing concepts and dimensional modelling. Experience with CI/CD pipelines using Azure DevOps or GitHub. Understanding cloud architecture ...

.Strong experience with data warehousing, data lakes, and lakehouse architectures.Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java.ETL/ELT design and data pipeline orchestration.Streaming and event-driven data architectures.Agile and DevOps delivery methodologies applied to data platforms (DataOps).Expertise in data ...

.Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms ...

Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms ...

implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks ...

implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks ...

Experience Strong experience in dataengineering, big data, or solution architecture. Strong hands-onexperience with Databricks Platform . Expert knowledge of: Apache Spark PySpark/Scala Delta Lake SQL Data Lakehouse architecture ETL/ELT development Experience designing anddelivering enterprise Databrickssolutions. Strong experience withcloud platforms: Azure Databricks (preferred) AWS Databricks Google ...

Event-Driven Architecture. Tools: Proficiency with Git, CI/CD pipelines (Jenkins/GitLab), and build tools (Maven/Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure ...

sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery.What We’re Looking ForStrong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.Practical experience building real-time event streaming pipelines ...

works in Jupyter and one that serves millions of users4+ years of software engineering experience - you write production code, not just notebooksStrong Python and Scala (or Java/JVM) skills, with experience writing scalable, production codeExperience building and deploying ML models end-to-end (data, training, serving, monitoring)Experience building ...

Exploratory Data Analysis (EDA) Experience with Jira Experience with Confluence Experience developing in a Linux operating environment Highly Desired Skills: Experience with Java and Scala Experience with Lucene, JEXL, SQL, JSON Random Forest and ability to do feature development for Random Forest Experience with Machine Learning Model building and monitoring ...

Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms ...

Develop simple data queries for existing or proposed databases or data repositories. Desired Skills: Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes ...

Develop simple data queries for existing or proposed databases or data repositories. Desired Skills: Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes ...

Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong ...