26 to 50 of 535 Scala Jobs

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 ...

. Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache ...

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 ...

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 ...

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 ...

etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation ...

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 ...

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 ...

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 ...

observability, and pipeline automation. Experience in these areas would be helpful: Experience of working in a Finance related data context. SAS and Informatica experience Scala Experience of working in an Agile Team An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Experience of QA, testing automation, testing and testing ...

implications of user stories and user journeys. Coaching and mentoring team members. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Strong software development experience in one of Java, Scala, or Python Software development experience withdata-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Experience of developing substantial components for large-scale data ...

engineering with experience using AI-enabled tools responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality.Bonus Points ForDevelopment experience using Scala or Java.Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems.Experience working with sensitive data and applying data privacy regulations, including GDPR.Curiosity to explore ...

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