14 of 14 Apache Spark Jobs in Scotland

Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and Spark (Scala or Python). Experience working with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques More ❯

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What More ❯

discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding of Maven or Gradle About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and More ❯

like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Preferred Qualifications: Experience with natural More ❯

skills. Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow. Experience with large-scale distributed systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

problems. Experience with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. More ❯

Functional Relevance of Work Experience: 15+ years of experience as an Enterprise Architect. 5+ years of industry exposure to the Government Sector. Certification across Spark and TOGAF. Other Desired Skills: Skilled in generating business cases and canned presentation material that can be reused across multiple customers. Strong leadership abilities More ❯

machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon is an More ❯

Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯

such as Java, C++, Python, or related. Experience with neural deep learning methods and machine learning. Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy. Experience with large-scale distributed systems such as Hadoop, Spark. Amazon is an equal opportunity employer. For accommodations during More ❯

a track record of thought leadership and contributions that have advanced the field. - 2+ years experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status More ❯

years in software engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). More ❯

technical processes in areas like cloud, AI, machine learning, or mobile platforms. Ability to solve data-oriented problems using technologies like SQL, Relational DB, Spark, NoSQL, with performance optimization. Preferred qualifications, capabilities, and skills Experience with Spark performance tuning on large datasets. Experience delivering production changes using Scala More ❯

neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/ More ❯