1 to 25 of 57 Remote Apache Spark Jobs

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

Data Engineer Salary up to £70,000 + discretionary bonus Hybrid working model with collaborative office environment Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS Apply online or contact Chelsea Hackett via chelsea.hackett@searchability.com ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data … optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering ...

delivery of data products. Develop scalable cloud-native solutions using AWS technologies. Build and maintain backend services and infrastructure using Python. Work with Apache Spark and Apache Airflow for data orchestration pipelines Implement infrastructure as code using Terraform and/or AWS CloudFormation . Manage IAM setups … experience focused on AWS-based data platforms. Strong experience with DevOps, cloud engineering and running production data platforms. Hands-on experience provisioning and managing Apache Airflow and Apache Spark . Experience with CI/CD pipelines, automated testing and agile software development practices. Comfortable working with large ...

optimize cloud-native data processing pipelines Develop and manage workflows using orchestration tools such as Airflow Work with large-scale data processing frameworks including Apache Spark Deploy and maintain containerized applications using Docker Implement infrastructure automation using Terraform Integrate solutions with enterprise data and secure file transfer systems … hands-on experience with Python development Experience working with AWS cloud services Proven experience with Terraform and Infrastructure as Code (IaC) Strong knowledge of Apache Spark Experience with Apache Airflow or similar orchestration tools Hands-on experience with Docker and containerized environments Experience using GitLab for version ...

Software Developer Permanent | Hybrid (willing to travel to Newcastle) | Python | Apache | Data | SC cleared Hybrid work arrangement. Office attendance is up to 60%. Location is flexible: London, Leeds, Newcastle, Sheffield, Blackpool, Manchester and Birmingham. You must be willing to travel to Newcastle when required. The Role … looking for Software Developers with strong Python and data processing with Apache Spark responsible to lead the design, development, and operation of data-driven applications and pipelines in a collaborative Dev and DevOps environment. The role focuses on writing and improving application code while working closely with DevOps ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

using assistive technologies such as JAWS and Dragon. Support Infrastructure as Code (IaC) initiatives using Terraform and Docker. Work with data engineering tools including Apache Spark, Python, Airflow, and Jupyter Notebooks. Participate in security and vulnerability scanning using tools like Trend Micro, Wiz, and Trivy/Trixy. Collaborate … frameworks Cloud & DevOps AWS Azure exposure GitLab Jenkins/Concourse Docker Terraform Testing & Quality TDD/BDD Playwright Selenium Cucumber Mockito Swagger Data & Integration Apache Spark Python Airflow Jupyter Notebooks Security & Accessibility WCAG 2.2 compliance Accessibility testing tools (JAWS, Dragon) Security scanning tools such as Trend Micro ...

ESSENTIAL CRITERIA: Strong experience designing and operating large-scale distributed or event-driven systems. Hands-on experience with streaming and data technologies such as Apache Kafka, Apache Flink, Spark, or similar platforms. Experience building scalable cloud-based services, ideally within AWS environments and modern backend technologies such … used across our teams include: Java/Spring Boot and TypeScript/JavaScript AWS services including MSK, Lambda, ECS, S3, DynamoDB, Redshift, and SQS Apache Kafka, Apache Flink, Airflow, Spark, and EventBridge SQL and NoSQL databases including Postgres, MongoDB, DynamoDB, and Timestream CI/CD and automation ...

Data Engineer, working with large-scale, complex datasets in regulated environments Scala development experience supporting analytics or data-processing solutions Hands-on experience with Apache Spark for large-scale distributed data processing Experience with model calibration, threshold management, and score explainability to meet AML governance and regulatory standards … Analyst or Data Engineer, working with large, complex datasets in regulated environments Solid Scala development experience, writing and supporting scalable data and analytics solutions Apache Spark experience, including batch and/or dynamic processing of high-volume data About Us FDM is an award-winning global leader ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation ...

Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure or GCP also considered ...

experience in data engineering or large-scale data platforms Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark, with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling, and backpressure Experience building ...

there: Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment ...

lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases ...

cloud-based data services. Understanding of relational databases(e.g., PostgreSQL, MySQL) and some knowledge of analytical or big data tools is a plus (e.g., Spark, DBT, DataBricks, Hive). Some experience building data solutions, this could be through university projects, boot camps, internships, or personal/side projects. Interest ...

Databricks Platform & Data Engineering Maintain and optimise an existing Databricks environment, ensuring reliability, performance, and cost‐effectiveness Design, build, and enhance data pipelines using Spark and Databricks best practices Develop scalable, reusable data engineering patterns to support multiple data domains Monitor and troubleshoot pipeline failures, performance bottlenecks, and data … Improvement ·Continuously improve pipeline performance, reliability, and maintainability ·Identify opportunities to automate, standardize or simplify data engineering workflows ·Stay up to date with Databricks, Spark and cloud data engineering best practices Essential Skills & Experience ·Proven experience as a Data Engineer working in a modern cloud data platform ·Strong hands ...

understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness ...

understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness ...

with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers ...

Ability to lead technical documentation, roadmaps, and architecture artifacts Bachelor's degree in Computer Science or related field Nice to Have Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi Experience with streaming, lakehouse, medallion, or enterprise migration initiatives Prior success expanding accounts or managing strategic customers Cloud certifications ...

Ability to lead technical documentation, roadmaps, and architecture artifacts Bachelor's degree in Computer Science or related field Nice to Have Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi Experience with streaming, lakehouse, medallion, or enterprise migration initiatives Prior success expanding accounts or managing strategic customers Cloud certifications ...

Ability to lead technical documentation, roadmaps, and architecture artifacts Bachelor's degree in Computer Science or related field Nice to Have Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi Experience with streaming, lakehouse, medallion, or enterprise migration initiatives Prior success expanding accounts or managing strategic customers Cloud certifications ...

Ability to lead technical documentation, roadmaps, and architecture artifacts Bachelor's degree in Computer Science or related field Nice to Have Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi Experience with streaming, lakehouse, medallion, or enterprise migration initiatives Prior success expanding accounts or managing strategic customers Cloud certifications ...