51 to 69 of 69 Apache Spark Jobs with Hybrid or WFH Options

skills, including the ability to summarize technically complex information for a non-technical audience Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a more »

skills, including the ability to summarize technically complex information for a non-technical audience Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a more »

skills, including the ability to summarize technically complex information for a non-technical audience Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a more »

skills, including the ability to summarize technically complex information for a non-technical audience Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a more »

MongoDB/DynamoDB/etc.) Solid understanding of data governance principles and how to implement these across the business Knowledge of Big Data technology (Spark/Hadoop/etc.) Excellent communication skills across various levels of stakeholders Benefits: Salary available £120,000 Bonus scheme Enhanced pension contribution available Genuine more »

to perform analysis and interpret data Deep knowledge of SQL Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix more »

we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka. Experience with Big Data solutions or Relational DB. Demonstrated knowledge of software applications and technical processes within a cloud or microservice architecture. Hands more »

DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A keen interest in problem-solving and using scalable machine learning to solve the more »

DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A keen interest in problem-solving and using scalable machine learning to solve the more »

build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would love to share more »

knowledge of security principles and best practices for cloud-based solutions. Preferred Skills : Certification in cloud platforms. Experience with big data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). All more »

or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source more »

ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »

science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.) Hands-on … models and following best practices. The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks. Strong experience with data programming frameworks such as Apache Spark. Understanding of common Data Science and Machine Learning models, libraries and frameworks. This role provides a competitive salary plus excellent benefits package. In more »

within Software Engineering to explore new technologies. Contribute to a team culture that prioritizes diversity, equity, inclusion, and respect. Required Skills Expertise in Java , Spark, SQL, Relational DB, Spark, NoSQL, focusing on performance optimization. A thorough understanding of the Software Development Life Cycle and agile methodologies, including CI more »

of the leading technology-orientated organisations with an abundance of interesting projects, learning resources, free cloud certifications and more. Role requirements • Experience with Python, Spark, or Py-Spark • Experience with SQL for databases • Experience developing Data/ETL pipelines • Knowledge of AWS cloud, Azure or GCP (Commercially or more »

leading technology-orientated organisations with an abundance of interesting projects, learning resources, free cloud certifications and more. Role requirements • 5+ years Experience with Python, Spark, or Py-Spark • 5+ years experience Experience with SQL for databases • Extensive experience developing Data/ETL pipelines • Hands on commercial experience with more »

improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science … classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) This is a permanent position, and offers flexibility with Hybrid working, 2-3 days per week in the office, depending on workload more »

My client are looking for a talented and motivated Big Data Architect (Azure, Databricks, Spark) to be based in their London office. You'll be responsible for providing technical leadership in architecting and designing end-to-end solutions for the organisation's datalake initiatives, as they provide increasing numbers … improvements in design, processes, and implementation to improve operational management, scalability, and extensibility. The following skills/experience is essential: Strong implementation experience using Spark and Databricks Strong Cloud experience (ideally Azure) Previously heavily involved in an implementation programme Data Warehouse Strong stakeholder management experience Excellent IT background, ideally more »