1 to 25 of 211 Scala Jobs

rituals Work with team members to understand designs, functional requirements and triage issues Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases ...

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

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

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

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

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

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

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

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

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

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

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

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

Azure).* Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting.* Infrastructure Tools: Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.* Compliance: Experience with data governance, data ...

such as: Azure Data Factory, Databricks, Airflow, Luigi, or similar (E) Strong understanding of data modelling (E) Programming skills in Python and/or Scala for data processing (D). Experience with machine learning pipelines or MLOps frameworks (D). Personal Attributes: Confident communicator able to engage both technical ...

Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake ...

data pipeline tools (Airflow, Kafka, Spark) Knowledge of cloud platforms (AWS, Azure or GCP) Familiarity with relational and NoSQL databases Additional programming experience (Python, Scala) Essential Requirements Active SC Clearance (must be valid) 5 years continuous UK residency Ability to attend London office 1 day per week Why Apply? Competitive ...

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 ...

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 ...

Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile delivery environments ...

Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile delivery environments ...

office environment with regular social and charity events And Much More!!! DATA ENGINEER - ESSTENTIAL SKILLS Strong experience with Databricks and Apache Spark (PySpark or Scala) Experience building streaming and batch pipelines using Spark Structured Streaming Hands-on experience with Kafka (MSK) and real-time data ingestion Strong understanding of Delta ...

consulting (or equivalent) experience required 7+ years Databricks solution design, implementation, engineering experience required Either 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying ...

5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) · Strong proficiency in Java, Python, or Scala · Solid understanding of event-driven architecture and data streaming patterns · Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure · Familiarity with Docker ...

5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) · Strong proficiency in Java, Python, or Scala · Solid understanding of event-driven architecture and data streaming patterns · Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure · Familiarity with Docker ...