101 to 125 of 318 Scala Jobs

Experience in Cloud Data Pipelines Building cloud data pipelines involves using Azure native programming techniques such as PySpark or Scala and Databricks. These pipelines are essential for tasks like sourcing, enriching, and maintaining structured and unstructured data sets for analysis and reporting. They are also crucial for secondary tasks such as flow pipelines, streamlining AI model performance, and enhancing interaction More ❯

in designing and implementing data warehousing solutions using Snowflake and AWS. The ideal candidate must have: Strong experience as an AWS Data Engineer Software Engineering background Coding lanuguages Java, Scala, C# or Python Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB More ❯

tools and services (preferably Azure ) Required Skills & Experience: Proven experience as a Data Engineer on cloud-based projects Strong hands-on skills with Databricks , Apache Spark , and Python or Scala Proficient in SQL and working with large-scale data environments Experience with Delta Lake , Azure Data Lake , or similar technologies Familiarity with version control, CI/CD, and infrastructure-as More ❯

Top Secret clearance or above is required Required Skills & Experience 4+ years of professional software engineering experience Active Top Secret clearance or above Experience with JVM languages: Java(preferred), Scala, Groovy, and/or Python Experience with javascript frameworks: React(preferred), Angular, and/or Vue Bachelor's in computer science or related field required Desired Skills & Experience Master's More ❯

Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering or equivalent experience 2+ years of experience designing and developing large-scale distributed systems Proficiency in Python, Java, or Scala for big data processing Experience with modern data processing and warehousing technologies Preferred Qualifications Excellent written and verbal communication skills for collaborating across distributed teams Practical experience of streaming technologies More ❯

Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/Git Actions, IntelliJ, Scala Responsibilities of the Data Engineer (AWS): Act as an internal consultant, advocate, mentor, and change agent providing expertise and technical guidance on complex projects. Work closely with customers, business analysts More ❯

infrastructure Strong verbal and written communication skills with the ability to work effectively across internal and external organisations and virtual teams. Would be a plus Skills in Java or Scala BS/BA or equivalent degree in computer science or similar We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Benefits package More ❯

in Agile environments and deliver results iteratively Excellent communication skills and a collaborative approach to problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at More ❯

in Agile environments and deliver results iteratively Excellent communication skills and a collaborative approach to problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at More ❯

according to standard methodologies in Python. You Bring: • Masters degree in CS/Statistics/Data Science, with a specialization in machine learning. • Experience with Python, and ideally also Scala or Java. • Experience in developing ML models for structured data. • Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib. • Industry experience in designing and implementing large-scale machine More ❯

years of experience. Significant experience in one or more scripting languages such as Python or R, Proficient in one or more big data programming languages, such as Python, Scala, or Java Analyze and decomposes activities and requirements to software designs that are allocated across systems components/sub-components. Experience with Elasticsearch and related indexing technologies. AI/ML model More ❯

and learning-to-rank, and stay current with emerging techniques. You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions. You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch ), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker). Accommodation requests If you need assistance with any More ❯

and promoting best practices within the team Proficient in adapting project execution to meet evolving demands We'd love to see: Experience with other programming languages such as Javascript, Scala, and OCaml An interest in financial markets or a background in data analytics or financial engineering Comfort with high volume, high availability distributed systems Salary Range = 160000 - 240000 USD Annually More ❯

as data analyst, data scientist, data engineer, or similar positions 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Preferred Qualifications Master's or Ph.D degree in a STEM field About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched More ❯

building backend software with a SaaS delivery model 4+ years of recent experience building an event-driven, microservices-oriented architecture Proficiency in any of the following backend languages: Go, Scala, Java, Kotlin, Node.js Proven expertise in building distributed systems, micro services, REST APIs Production experience with commercial clouds (AWS, Azure, GCP) BS/MS degree in Computer Science or related More ❯

and languages, for example batch warehouses driven by ELT and real-time insights. You're fluent in at least one of the core data languages, such as Python or Scala, and of course versed in SQL and its use in data pipelines. You have recent experience building, deploying, and running data pipelines or insights tooling on cloud services (AWS, Azure More ❯

other's backs, acting with purpose while having sustainability and cost in mind through thinking thrift. Bonus points if: You are familiar with any one of the following technologies : Scala, Python Swift ( iOS), React or Typescript. You are familiar with observability, tracking and data pipeline tools and methodologies Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access More ❯

with proper lineage and change control, including cloud and on-premises sources. Publishes vetted data sources for BI tools like Tableau, Crystal, and Epic. Strong experience in Hadoop, Spark, Scala Python. Good experience in end-to-end implementation of data warehouse, Data Lake, data marts. Strong knowledge and hands-on experience in SQL, Unix shell scripting. Good understanding of data More ❯

and operational efficiency. Requirements: Bachelor's degree in computer science or equivalent practical experience. 3+ years experience building and deploying cloud workloads. 3+ years experience in Java, Golang, or Scala, building tools and refactoring code. Broad knowledge of enterprise security technologies in a high-growth, cloud-based environment. Experience with AWS/GCP, containerised environments, and security architecture alignment. Knowledge More ❯

write new programs for real-world challenges - with creative freedom to shape your journey. Our tech stack isn't a relic - it's a living arsenal: Node.js, C++, Java, Scala, Python, SQL, TypeScript, JavaScript, React, Docker, Kubernetes, AWS, Google Cloud , and more. Open the console: Tools & Equipment: Mac, Linux, custom config - your call. You'll get high-end hardware to More ❯

write new programs for real-world challenges - with creative freedom to shape your journey. Our tech stack isn't a relic - it's a living arsenal: Node.js, C++, Java, Scala, Python, SQL, TypeScript, JavaScript, React, Docker, Kubernetes, AWS, Google Cloud , and more. Open the console: Tools & Equipment: Mac, Linux, custom config - your call. You'll get high-end hardware to More ❯

write new programs for real-world challenges - with creative freedom to shape your journey. Our tech stack isn't a relic - it's a living arsenal: Node.js, C++, Java, Scala, Python, SQL, TypeScript, JavaScript, React, Docker, Kubernetes, AWS, Google Cloud , and more. Open the console: Tools & Equipment: Mac, Linux, custom config - your call. You'll get high-end hardware to More ❯

world applications Hands-on expertise with implementing end-to-end production ML systems at scale in Python Additional systems experience (data and backend for ML Systems) in Java or Scala is a plus Experience with Pytorch and/or TensorFlow is required. Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces More ❯

and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environmenWhat's in It for You? We reward leadership and initiative with a package that reflects your impact More ❯

years experience building and developing backend applications Experience working on Growth Engineering teams Senior-level experience with one or more prominent languages such as Java, Python, Kotlin, Go, or Scala is nice to have. Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure). Fluency in any one database technology (e.g. More ❯