1 to 25 of 53 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 ...

professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices. Must Have: AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; Key Responsibilities Design, develop, and maintain scalable Python applications and services Build … 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 ...

tech skills required include • Great SQL • Experience in complex query optimization • Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark) • Hands-on experience building and maintaining data ingestion pipelines • Proven track record of optimising queries, code, and system performance • Experience with open-source … data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) If you are interested in this Data engineering role, please send your latest CV to ross@virtuetech.io Data Engineers x 2 | Open-source data processing, SQL, Python | Energy trading | Up to £85,000 + Bonus + Benefits ...

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 ABOUT THE CLIENT Due to continued growth, we're seeking a skilled Data Engineer … 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 ...

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 ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

will be undertaking a monumental Transformation to unlock organisational pace and Data agility, moving to a scalable Cloud Data architecture centred around AWS Glue (Apache Spark) & Apache Airflow, with a key focus on re-engineering numerous complex Data pipelines to the new framework by leveraging Agentic … code generation in regulated environments Strong hands-on experience with AWS ecosystem: AWS Glue, S3, and related data platforms (e.g. Snowflake) Strong experience with Apache Airflow and DAG-based orchestration Experience designing configuration-driven frameworks: Using YAML or JSON Experience building automated testing for data pipelines: Functional equivalence testing ...

computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms Hands-on experience with CI/CD (GitLab CI/GitHub Actions) Familiarity with Java Familiarity with Google ...

About the Job you are considering: Results-driven Hadoop Spark Data Engineer with strong expertise in designing and implementing scalable big data solutions using Scala and Apache Spark. Experienced in working with the Hadoop ecosystem, including HDFS, Hive, and YARN, to process and analyze large datasets efficiently. Skilled … Azure. Your Skills: Proficient in Scala programming with strong expertise in functional programming concepts for building scalable data applications. Extensive experience in Apache Spark (Core, SQL, and Streaming) for processing large-scale distributed data efficiently Strong knowledge of Hadoop ecosystem components including HDFS, YARN, Hive, and HBase. Skilled ...

enterprise data strategies, optimize pipelines (ETL/ELT), and incorporate technologies such as cloud platforms (e.g., AWS GovCloud, Azure Government), Big Data tools (e.g., Spark, Hadoop), and relational/NoSQL databases for secure, performant solutions. Designs approaches for automated data labeling, lifecycle management, monitoring, real-time ingestion, and integration ...

scale (including deep learning where appropriate) • Must have hands-on expertise with cloud-native data platforms and distributed compute (Snowflake/Databricks/Spark/BigQuery) and container orchestration (Docker/Kubernetes) • Proven ability to lead technical initiatives across teams and influence architecture and standards Preferred Qualifications: • 8+ years ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...

data models and ETL processes, to support the construction of scalable and efficient data systems. Familiarity with big data tools like DuckDB, Polars or Apache Spark for processing out-of-memory datasets" . Proven experience collaborating with first-team stakeholders within a professional sports environment, demonstrating strong interpersonal ...

with Airflow, Dagster or other orchestration tools Experience with data lakes (Synapse, Snowflake) Experience with Docker Experience with streaming technologies (Kafka, RabbitMQ) Experience with Spark or other big-data tools Hybrid working – 3 days per week in a central London office (Tues - Thurs) If you’re excited ...

skills Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems Experience with ...

Scikit-learn AI/GenAI: prompt engineering (preferred), Claude CLI/Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs Data Tools (Optional): Pandas, NumPy, Spark APIs & Microservices development Version control (Git) Cloud & DevOps: Experience with AWS, Containers: Docker, ECS/EKS, CI/CD pipelines (GitHub Actions Or Jenkins ...

Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM. Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data sources and enterprise systems; runbooks and operational handover. Product delivery: workshop facilitation, PRDs, user ...

environment, we encourage you to apply and take your career to the next level. Knowledge and skills Experience as a Data Engineer Databricks/Apache Spark/Python BitBucket/GitHub Advantageous dbt AWS Terraform ML/Data Science About Us What's in it for you... Healthcare ...

through influence with strong collaborator engagement skills. Preferred Experience Digital Twin, asset virtualization, or industrial data platforms Graph technologies (e.g., Neo4j), big data ecosystems (Spark, Hive, Hadoop) Databricks, Python, and modern analytics platforms Delivery of data products at enterprise scale Key Competencies Strategic product thinking with strong execution bias ...

Senior Data Engineer (Scala/Spark) London | Hybrid Working | Initial 12 month contract | £450-550pd PAYE + holiday pay We are partnering with a world-leading technology organisation seeking an experienced Senior Data Engineer to join a high-performing engineering team responsible for building and operating large-scale … machine learning workflows at scale. As a Senior Data Engineer, you will design, build and operate large-scale batch data pipelines using Scala and Apache Spark. Working alongside Machine Learning Engineers, Researchers and Platform Engineers, you will help develop the infrastructure and tooling required to process vast datasets ...

data modelling and processing but focuses on practical ability to implement solutions using a range of technologies and languages including SQL, Python, Databricks, Apache Spark, Lakehouse and various RDBMS. This is a senior, hands-on role. You will develop and support more junior team members whilst working ...

. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc ) is a plus. We have many more additional great benefits/perks that you can find on our website at . ...

Gitlab, etc.) Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc ) is a plus. DoD 8140/8570 IAT Level II compliance certifications may be required in this position as directed ...

. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc ) is a plus. We have many more additional great benefits/perks that you can find on our website at . ...