26 to 50 of 88 Remote/Hybrid Apache Spark Jobs

data pipeline orchestration tools Containerisation (Docker, EKS, AKS, Kubernetes) Proficiency in CI/CD principles and tools Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL) Infrastructure as Code (Terraform, Ansible) Air-gapped development Automation Client/stakeholder management Public sector domain understanding Technical architecture Experience: You will ...

control, and Responsible AI/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

Architecture.- Strong programming skills in Python and SQL.- Familiarity with cloud platforms such as AWS, Azure, or GCP.- Knowledge of Snowflake and experience with Spark/PySpark.- Experience in designing and implementing modern data platform engineering solutions.If you are ready to make an impact within a dynamic team ...

multidisciplinary team to support and enhance over 70 active BI products. What You'll Bring Essential Skills & Experience: Core Technologies: Azure Databricks (or similar Spark-based platforms) and Azure Data Factory (ADF). Languages: SQL and Python. Data Platforms: Azure Data Lake and SQL Server RDBMS. ETL Tools ...

e.g., Git, CI/CD pipelines, artifact repositories) and comfort working in agile delivery models. Experience with big data and distributed processing concepts (e.g., Spark) and familiarity with Scala and/or Python. Experience working on cloud computing platforms (Azure preferred). Excellent written and verbal communication skills, with ...

reconciling source and target data. Experience executing functional and data validation testing. Agile experience. Technical Environment Microsoft Fabric Azure Data Factory SQL Python PySpark Apache Spark Desirable Skills Experience introducing test automation. Data quality frameworks. Reporting and analytics testing. Azure DevOps. Contract Details UK-based London office ...

driven decision making. What you'll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working within cloud environments, ideally AWS. Understanding of software engineering principles, version control and CI/CD practices. Familiarity with container technologies ...

learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex technical concepts clearly to non-technical ...

scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit our people, capital ...

datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital ...

Computational Complexity. Strive for excellence and continuous improvement in software architecture, software delivery and best practices. Hands on experience in C#, OOP python, Spark/PySpark and other C#, Python framework ecosystem. Debug and resolve issues in large datasets quickly. Co-ordinating handoffs between different time zones and allocating ...

Computational Complexity.* Strive for excellence and continuous improvement in software architecture, software delivery and best practices.* Hands on experience in C#, OOP python, Spark/PySpark and other C#, Python framework ecosystem.* Debug and resolve issues in large datasets quickly.* Co-ordinating handoffs between different time zones and allocating ...

modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence ...

Computer Vision: Familiarity with computer vision techniques and libraries like OpenCV. Experience with Big Data Tools: Experience with big data tools like Hadoop, Spark, or Hive. Knowledge of Reinforcement Learning: Understanding of reinforcement learning techniques and algorithms. Familiarity with Robotics: Experience with robotics and robotic process automation (RPA) tools. ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

Agentic AI, applied within enterprise environments. Experience with energy system modelling, grid analytics, demand forecasting or energy market data. Familiarity with distributed computing, Spark, PySpark or cloud-native data platforms. Experience developing models for planning, scenario analysis, operational decision support, model governance or regulatory reporting. Why Join Capco Deliver ...

foundation models, embeddings, vector databases, RAG architectures, and agentic AI systems. Experience working with large-scale datasets using SQL, distributed processing platforms such as Spark, and cloud-based infrastructure. Strong communication and data visualisation skills, with the ability to explain complex technical concepts to technical and non-technical audiences. ...

platforms that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data … structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks – strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large‐scale batch/streaming workloads. Cloud‐native data platforms – demonstrated experience with ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

services, capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science ...

encouraged to talk about it Experience in financial services,insuranceor another regulated sector Experience deploying real‐time or streaming ML models (e.g.Kafka, Flink, Spark Structured Streaming) Passion for automation, tooling, and building reusable systems Interest in responsible AI and ML model governance Why Compare the Market ...

both OnPrem and Cloud* Experience with processing large datasets as well as streaming data and unstructured data sources including Cassandra HBase Kafka and Spark* Strong ETL and data pipeline experience particularly with modern big data toolsets such as Airflow and Nifi or equivalent* Strong programming background in either Java ...