code review). * Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. * NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. * BigQuery and Data Studio/Looker. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub more »
CI/CD principles and technologies, including experience with GitHub Actions or similar. Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs. Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP). A bonus Experience more »
no data science experience required). Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus. Why You Should Join The position will be at the intersection of data science and development operations. The candidate would more »
data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in a DevOps environment with more »
data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in a DevOps environment with more »
you have experience in Hadoop ecosystem (Spark, Kafka, HDFS, Hive, HBase, …), Docker and orchestration platform (Kubernetes, Openshift, AKS, GKE...), and noSQL Databases (MongoDB, Cassandra, Neo4j) • Any experience with cloud platforms such as AWS, Azure and Google Cloud is a real asset. • You have experience in working closely with business more »
Charing Cross, England, United Kingdom Hybrid / WFH Options
BP Energy
as AWS and Azure Continuous learning and improvement attitude Foundational data transformation and manipulation skills Experience with big data technologies and graph modelling (e.g. neo4j, Azure Digital Twin and other Azure data technologies, Hadoop, Hive, and Spark etc) is a plus Coding capability, SQL and scripting in R or more »
big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in aDevOps environment with object more »
big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in aDevOps environment with object more »
big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in aDevOps environment with object more »
big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in aDevOps environment with object more »
Staines-Upon-Thames, England, United Kingdom Hybrid / WFH Options
IFS
Qualifications A minimum of 5 years in data engineering , with expertise in scalable architectures such as Data Lakes, Graph, and Vector Databases (e.g., ADLS, neo4j, Elasticsearch). Proficiency in developing data pipelines across diverse environments, leveraging Azure and other modern technologies. Proven ability to orchestrate complex data workflows and more »
for automation Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations A Bonus: Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Benefits Competitive more »
knowledge with the following, Apache Spark, Kubernetes, Kafka, SIMP Project, Ansible, Docker, GIT, Red Hat Enterprise Linux (RHEL), Suricata, Zeek, Kibana, Logstash, Elastic Search, Neo4J, PostgreSQL, AWS Cloud & Nifi Knowledge of policy development and maintenance Strong communication and interpersonal skills, with the ability to speak clearly and effectively with more »
Familiar with AWS, Azure, GCP, and capable of effective deployment on these platforms. Database Management: Skilled in both relational and NoSQL databases, including MongoDB, Neo4j, and Redis. Additional Skills: Experience with Spark, Hadoop, or similar systems. Practical knowledge of Docker, Kubernetes, or similar technologies. Familiarity with CI/CD more »
and innovation. Together, we'll push the boundaries of what's possible with data engineering, shaping the future of AI Responsibilities: Productionising and scaling Neo4j/graph databases/deep learning on knowledge graphs Productionising open source LLMs AWS Infrastructure - S3, SQS, ECS, RDS, Terraform and containerisation Develop and more »
NLP algorithms, including transformers, graphical models, and information retrieval techniques Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow) Database technologies including ElasticSearch, Neo4j, and SQL Excellent interpersonal, verbal, and written communication skills A flexible attitude with respect to work assignments and new learning Ability to manage multiple more »
3.8+, as well as experience with Dotnet 6, HTML, JavaScript and Unit testing. Experience in any of the following is desirable but not essential: Neo4J and Graph Database concepts; SQL Server relational databases; Kafka, Kettle; Azure DevOps Source Control; GIT Source Control; Angular 10 or greater; Using Docker containers more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
CARC, GMAL Development of visualizations (e.g., matplotlib) Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) Development using graph engine/database (e.g., GraphX, Neo4J) At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping more »
