51 to 75 of 321 Scala Jobs

a direct impact on the day-to-day decision making across Prime Video. BASIC QUALIFICATIONS - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data More ❯

broad range of problems using your technical skills. Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience of coding in Python and Scala or Java Experience with big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS More ❯

version control systems like Git, enabling effective collaboration and code management. Experience in an ML engineer or data scientist role building ML models. Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility. Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads. Experience handling petabyte size datasets, diving into data to discover More ❯

project deadlines. Strong collaborative spirit, working seamlessly with team members and external clients. Proficiency in R or Python. Solid understanding of SQL; experience working with Spark (Java, Python, or Scala variants) and cloud platforms like Databricks is a plus. Strong statistical knowledge, including hypothesis testing, confidence intervals, and A/B testing. Ability to understand and communicate the commercial impact More ❯

practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. More ❯

platforms (Azure) and data engineering best practices . Advanced proficiency in Power BI , including DAX, Power Query, and data modeling. Strong programming skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics and business intelligence. Proven More ❯

the development of real-time and batch inference pipelines. Contributing to the scalability, efficiency, and reliability of ML infrastructure. KEY SKILLS AND REQUIREMENTS Strong experience in Python, Java, or Scala for backend development. Solid understanding of data processing and engineering workflows. Experience building APIs or services to support data or ML applications. Familiarity with ML model lifecycle and tooling (e.g. More ❯

as a Data Engineer, with Python & SQL expertise Familiarity with AWS services (or equivalent cloud platforms) Experience with large-scale datasets and ETL pipeline development Knowledge of Apache Spark (Scala or Python) beneficial Understanding of agile development practices, CI/CD, and automated testing Strong problem-solving and analytical skills Positive team player with excellent communication abilities TO BE CONSIDERED More ❯

working knowledge of Azure Cloud Platforms, or strong transferable skills from other cloud platforms. Experience using SQL for database management essential. Proficiency in programming languages (e.g., Python, Java, or Scala) desirable. Experience with data pipeline frameworks and ETL tools and familiarity with big data technologies. Understanding of version control principles and tools essential. Knowledge of data integration tools and languages More ❯

and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar ). Exposure to CI/CD testing within Azure DevOps, GitHub More ❯

activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. More ❯

thrive. What you'll need Validated expertise in delivering and supporting high-availability, high-performance systems. Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go and SQL) Strong experience working withKafkatechnologies Working experience withoperational data stores,data warehouse,big-data technologiesanddata lakes Experience working with relational and non-relational databases to build data More ❯

education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯

on products and services within their specialty domain including expertise that extends beyond the Rackspace portfolio. Knowledge modern software development practices with exposure to any language, Java, C#, Node.js, Scala, Python or GO preferred. Knowledge of building containerised applications and systems on modern container orchestration platforms. Knowledge of CI/CD pipelines with respect to serverless and container application preferred. More ❯

architecture, integration tools & approaches AI methods & techniques and the challenges faced in establishing effective delivery of value across the business Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory Relevant experience in Data Platform Technologies (knowledge of any or all including Snowflake, Databricks, Microsoft Fabric would be beneficial) Previous consulting experience would be More ❯

practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. More ❯

incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting More ❯

d love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with More ❯

Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.) Familiarity with modern cloud technologies such as Kubernetes More ❯

platforms (e.g., Hadoop, Spark, Kafka) and multi-cloud environments (AWS, Azure, GCP) Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) Strong programming skills in Python, Java, or Scala Familiarity with data pipeline development and real-time data processing Proven ability to design and implement data-intensive solutions at scale Experience supporting analytics for the intelligence or defense community More ❯

metrics, and error handling to support monitoring and incident response. ? Align implementations with InfoSum's privacy, security, and compliance practices. Required Skills and Experience: ? Proven experience with Apache Spark (Scala, Java, or PySpark), including performance optimization and advanced tuning techniques. ? Strong troubleshooting skills in production Spark environments, including diagnosing memory usage, shuffles, skew, and executor behavior. ? Experience deploying and managing More ❯

metrics, and error handling to support monitoring and incident response. ? Align implementations with InfoSum's privacy, security, and compliance practices. Required Skills and Experience: ? Proven experience with Apache Spark (Scala, Java, or PySpark), including performance optimization and advanced tuning techniques. ? Strong troubleshooting skills in production Spark environments, including diagnosing memory usage, shuffles, skew, and executor behavior. ? Experience deploying and managing More ❯

Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC • Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) and event-driven architecture • Strong proficiency in Java, Python, or Scala • Proven ability to integrate Kafka with enterprise systems (databases, APIs, microservices) • Hands-on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes • Familiarity with CI/CD pipelines and infrastructure More ❯

web/mobile applications or platforms with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL databases such as MongoDB, Cassandra, etc. Responsibilities include More ❯

your development journey! Key skills and experience: Experience with automated testing frameworks like Playwright Experience with profiling tools and load testing Commercial experience with Java or JVM languages (Groovy, Scala, Kotlin ) API Engineering expertise Relational database knowledge, e.g., PostgreSQL DevOps skills: CI/CD, Docker, Git Additional skills that are a plus: Understanding of Software Engineering Principles: SOLID, design patterns More ❯