1 to 25 of 28 Remote Apache Spark Jobs

designs, and support decommission planning for legacy components Core Technical Skills Azure Synapse & Data Platform Mandatory hands-on expertise with: Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) Azure Data Lake Storage Gen2 (ADLS Gen2) Delta Lake on Azure (Synapse Lakehouse patterns) Oracle Golden Gate Replication for real … patterns (YAML, PySpark, SQL-driven generation from mapping documents) Databricks & Lakehouse Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark/Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse Ability ...

Senior Data Engineer Role (Python/Spark/Databricks) - Hybrid - Contract - Banking Role - Senior Data Engineer Rate - £850 p/d (Inside IR35) Duration - 6 months with very likely extension Location - Hybrid/Liverpool Street (London) - 3 days per week in a Liverpool Street office About the Role Global … delivering critical data platforms and analytics capabilities across the business. This is a genuinely hands-on engineering role, requiring strong expertise in Python, Databricks, Spark/PySpark and SQL. The successful candidate will be actively involved in the design, development, optimisation and support of enterprise-scale data platforms, working ...

engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best ...

programming skills, with experience developing and maintaining data pipelines Familiarity with ETL/ELT technologies and data streaming tools such as Airflow, Azure, SSIS, Spark or Kafka Experience working with databases and data platforms such as PostgreSQL, SQL Server, Oracle, Snowflake or similar technologies Knowledge of data visualisation tools ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data ...

into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory controls ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Hiring: Big Data PySpark Developer Location: Irving, TX (Hybrid 3 Days Onsite) Experience: 7+ Years Job Type: Full-Time Required Skills: PySpark, Python, Apache Spark, SparkSQL, Hadoop, SQL, Unix/Linux, Shell Scripting, and Apache Airflow. Interested candidates, please DM me or share your updated resume. VITS ...

large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality, time-stamped, and ready for both training and real-time inference. Design and deploy data collection systems ...

management and international regulatory compliance. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with … platforms such as Amazon Bedrock. Experience developing data-based apps in Streamlit/Shiny Skills in 'Big Data' technology tools like Hadoop/Spark Knowledge of Infrastructure as Code tools like CloudFormation/Terraform If you can bring some of these skills and experiences, along with transferable strengths ...

Senior Data Engineer – SQL/Python/AWS Adria Solutions is recruiting a Senior Data Engineer for a growing business developing a new digital services platform. With established backing, the business is building its data ...

understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems ...

translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with ...

Python development Experience in git and basic Unix Commands You may also have You may also have experience with large data processing technologies (Apache Spark) Contract length: 3 years grant based contract Salary: Grade 5 Monthly salary starting at £3,452 after tax, plus generous benefits and financial ...

kubernetes) Experience with Key value stores Experience in git and basic Unix Commands You might also have (Desirable) Experience with large data processing technologies (Apache Spark) Other helpful information Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated ...

system efficiency at scale Familiarity with a range of tools and technologies including: Development: Kotlin, Java Data storage/processing: DynamoDB, MySQL, Snowflake, Databricks, Spark Infrastructure as code and CI/CD: Terraform, GitLab CI/CD//You don't need to have experience in every area ...

deploying scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability …/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric's integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards … models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI/OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support ...

role combines L2/L3 production support and Data Engineering tasks. Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver/executor logs, Spark UI + performance troubleshooting. Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. Experience of Spark ...