1 to 25 of 129 Scala Jobs

resilience of production data platforms. \n\n Skills Required \n \n Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). ...

production data platforms. \n\n \n Skills Required \n \n \n Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). ...

production data platforms. \n\n \n Skills Required \n \n \n Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). ...

resilience of production data platforms. \n\n Skills Required \n \n Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). ...

larger initiatives What You'll Bring Technical Expertise: Strong SQL—comfortable with complex transformations, performance tuning and warehouse-specific dialect Strong Python skills (or Scala/Java where relevant) for pipeline development and tooling Hands-on experience with dbt or equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent ...

nDeep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.\n \n \nStrong programming skills in Python, Java, or Scala for data engineering.\n \n \nHands-on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect).\n \n \nProven track record with data ...

nDeep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.\ N\n\nStrong programming skills in Python, Java, or Scala for data engineering.\ N\n\nHands-onexperience with data orchestration and workflow management tools (e.G., Airflow, Dagster, Prefect).\ N\n\nProven track record with data governance ...

observability and resilience of production data platforms.\ N\nSkills Required \ N\nExperience in data engineering using modern programming languages such as Python, Java or Scala, and SQL.\ NHands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.G. Apache Spark, Hadoop).\ NExperience ...

resilience of production data platforms.\ N\n \nSkills Required \ N \n\nExperience in data engineering using modern programming languages such as Python, Java or Scala, and SQL.\ NHands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.G. Apache Spark, Hadoop).\ NExperience ...

software development lifecycle (SDLC). Hands-on experience with big data frameworks such as Spark, Hadoop, or Hive, including derivatives like PySpark (preferred), Spark Scala, or Spark SQL, along with familiarity with development-accelerating libraries and frameworks. Experience using data modelling tools such as ERwin, ER/Studio, PowerDesigner ...

Strong understanding of ethical data usage in regulated environments CRITICAL COMPETENCIES – TECHNICAL FIT Essential: Strong SQL skills Programming experience with Python and/or Scala Hands-on experience with Azure-based data platforms Experience designing, building, and maintaining data pipelines Strong understanding of data modelling (relational and analytical), including medallion ...

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

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

real-time data processing jobs. Your Skills: Hadoop Ecosystem: HDFS, Hive, Spark, MapReduce, YARN, HBase Data Integration: Sqoop, Kafka, Flume, NiFi Programming: Python, Scala, Java, Shell Scripting Databases: Oracle, SQL Server, MySQL, PostgreSQL Cloud: AWS, Azure, GCP Workflow Tools: Oozie, Airflow We are a Disability Confident Employer: Capgemini is proud ...

NStrong experience with data warehousing, data lakes, and lakehouse architectures.\ NHands-on experience with SQL and at least one programming language such as Python, Scala, or Java.\ NETL/ELT design and data pipeline orchestration.\ NStreaming and event-driven data architectures.\ NAgile and DevOps delivery methodologies applied to data platforms ...

. Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency in Python, Scala, or Java for data processing. Deep understanding of data warehousing concepts and best practices. Experience maintaining reliable, production-grade data pipelines. Excellent stakeholder management ...

paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured ...

engineering technologies including Apache Spark, Databricks and Hadoop\ NStrong understandingof agile ways of working\ NUp-to-date understanding of various programming languages including Python, Scala, R and SQL\ NUp-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL\ NUp-to-date understanding of cloud platforms ...

Engineer, Software Architect, or similar senior technical role. Strong server-side software engineering experience, with flexibility across programming languages such as Python, Java, Go, Scala, C#, or similar. Experience designing and building distributed data services or large-scale backend platforms. Experience with Apache Spark, Apache DataFusion, Trino, Presto, or similar ...

journeys.\n \n \nCoaching and mentoring team members.\n \n\n MINIMUM (ESSENTIAL) REQUIREMENTS: \n \n \nStrong software development experience in one of Java, Scala, or Python\n \n \nSoftware development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.\n \n \nExperience of developing substantial ...

user journeys.\ N\n\nCoachingand mentoring team members.\ N\n\nMINIMUM (ESSENTIAL) REQUIREMENTS:\ N\n\nStrong software development experience in one of Java, Scala, or Python\ N\n\nSoftwaredevelopment experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.\ N\n\nExperience of developing substantial components ...

databases Excellent communication skills and comfort working in an Agile (Scrum/Kanban) environment Nice to Have Experience with JVM languages beyond Java (Kotlin, Scala, Groovy) Exposure to TypeScript or Node.js for a full‐stack context Background in system design and distributed systems Proficiency in Python for scripting or data ...

with Cloud Experience with High Performance Compute (HPC) Preferred Qualifications: Knowledge and use of at least one common programming language: e.g., Python, Go, C++, Scala, Java, including toolchains for documentation, testing, and operations/observability Expertise in modern software development tools/ways of working (e.g. git/GitHub, devops ...

code” tools such as Terraform, Salt or similar; 3+ years of significant professional experience developing applications written in a modern programming environment - preferably Scala/Java and/or Python; Professional experience across the entire software development life cycle, from gathering requirements to production deployment using CI & CD; Confident ...

Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking ...