126 to 150 of 186 Remote Apache Spark Jobs

Public writing, talks, or threads about building with AI. MLOpsand model serving experience (BentoML,MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. AWS Professional certification or other relevant industry certifications. What We Offer At Newpage ...

laptop. Nice to have requirements An ontology, or a business entity model, on top of a semantic layer. A distributed engine such as Spark or Trino, used on data that did not fit a single warehouse query. Fintech, payments, or another regulated environment. Success in the role looks like ...

processes. Engage in hands-on development with Scala, Java, or Python through system integration projects or as a data scientist. Utilise technologies such as Spark, Elastic, Restful APIs, JSON, and Tomcat. Build reusable libraries and shared capabilities to expedite time to market for Data Engineering delivery teams. Continuously improve … Python, and SQL. Well-versed in software engineering and systems design principles. Hands-on experience with Azure cloud data platforms is essential. Familiarity with Spark and Apache Airflow is required. Proficient in Linux/Unix/*nix environments. Strong knowledge of ETL tools and data modelling techniques. Candidates ...

with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well ...

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 ...

with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well ...

machine learning experience (e.g. python, tensorflow, pytorch). Familiarity with SQL and large-scale data processing technologies such as Hadoop, Hive, Impala, Scala, Spark etc. Technology leadership experience from defining market driven visions/goals to the implementation of solutions in a production environment in collaboration with cross-functional ...

translate technical content in commercial terms for non-technical stakeholders, such as customers, sales and product teams Desirable B2B product experience Experience with Spark SQL, PySpark, databricks Experience with CausalAI modelling frameworks (e.g. dowhy, econml) Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment ...

delivered dataset, model or capability, including deciding what was good enough. Experience with a modern data stack comparable to ours: a cloud data lake, Spark or Databricks, and AWS. Clear communication with technical and non technical stakeholders, and the ability to cascade direction to a team so that each ...

Engineer, maintaining and further developing a well-established cloud and CI/CD setup to implement and evolve reliable, well-tested data pipelines in Spark/Scala and to extend the dimensional data models. You will be part of the technical team collaborating closely with platform engineering, data science … ingesting from various sources into Databricks Collaborate closely with software engineers to evolve our software platform and address technical challenges Design, develop, and optimize Spark/Scala jobs for ingestion and transformation, using the existing GitHub Actions and Terraform setup for deployments Implement, run and monitor dbt tests ...

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 ...

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 ...

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 ...

meetups Continuously learn and improve engineering practices What we’re looking for batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS … Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering place to work. ...

lead the design, development, and optimization of our data infrastructure in a hybrid role based in Hounslow. You will build scalable pipelines with Spark, Hadoop, Hive, and AWS, maintain data warehouses on Oracle/SQL Server, and drive data quality and security. You will leverage Informatica and scripting ...

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 ...

person who knows what the data can and can’t support Nice to Have Experience in payments or with sensitive, regulated data Databricks or Spark experience alongside ClickHouse Experience as an early or founding member of a data team, including hiring This Might Not Be for You If... ...

with product stakeholders to align technical strategy with business goals and resolve blockers across the team. Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About ...

Envitia is seeking a Senior Data Engineer to design and deliver cutting-edge data solutions for customers in the UK. Using Databricks, Apache Spark and cloud-native technologies, you’ll build scalable Lakehouse architectures and production-grade pipelines that enable organisations to trust and share data. ...

networking, storage, to applications Work in Python to design and deliver open source code Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow a healthy, collaborative ...

engineering practices to multi-disciplinary teams. Desirable Skills, Qualifications & Experience: Experience leveraging Kubernetes for application deployment, and familiarity with distributed computing frameworks (e.g., Ray, Spark), or specialised batch schedulers/resource managers (e.g., Slurm, Volcano, Kueue). Demonstratedexpertisewith specialised serving engines (e.g.,vLLM,SGLang) or techniques for deploying models ...

large generative models. AV/robotics/simulation; multi-sensor driving data (video, telemetry; LiDAR a plus). Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration. Reward models, offline RL, or closed-loop evaluation of driving policies. Cloud GPU fleets (Azure/ ...

mindset and openness to learning from others Nice to have: Hands on orchestration skills and experience using Terraform Experience with big data tools (e.g. Spark, AWS Glue, or similar) Strong grasp of code review best practices Cloud Migration/AWS knowledge Understanding/experience working with orchestration and data ...