51 to 75 of 345 Apache Jobs

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering ...

Auto ML, Tensorflow, Natural Language, Vision AIPA’s common technology components:Google CloudCloud RunCloud FunctionsKubernetes Engine, Compute Engine, VPCsCloud Spanner, Cloud SQL and BigQueryDataflow, Apache BeamVertex AI, DialogFlow, Auto MLArchitectureMicroservices patternsEvent-driven architectures and message queuesRelational and non-relational databasesLanguages and frameworksJava 17+, JavaScript, Python, SQLCommon frameworks and APIs ...

Auto ML, Tensorflow, Natural Language, Vision AIPA's common technology components: Google CloudCloud RunCloud FunctionsKubernetes Engine, Compute Engine, VPCsCloud Spanner, Cloud SQL and BigQueryDataflow, Apache BeamVertex AI, DialogFlow, Auto MLArchitectureMicroservices patternsEvent-driven architectures and message queuesRelational and non-relational databasesLanguages and frameworksJava 17+, JavaScript, Python, SQLCommon frameworks and APIs ...

Skills MUST HAVE: Strong hands-on experience with Quantexa implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud ...

platform and lakehouse transformation journeys What We're Looking For Strong commercial experience in Data Engineering Hands-on experience with Databricks and/or Apache Spark Strong PySpark and SQL development skills Experience designing, building and supporting data pipelines Experience working with Azure or AWS Good understanding of modern ...

market data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome ...

market data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome ...

used in modern AI systems Strong Python programming experience A habit of making, and justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time ...

used in modern AI systems Strong Python programming experience A habit of making, and justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time ...

datasets— hands-on familiarity with vessel-tracking data, its structure, quirks, and limitations.• SQL— strong proficiency, including query optimization on large datasets.Nice-to-Haves• Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines.• AWS experience (Azure or GCP equally welcome).• Machine Learning experience, particularly applied to geospatial ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering ...

decisions, documentation and continuous improvement initiatives. Key Skills & Experience Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and data modelling. ...

build tools (Maven/Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong ...

ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account.Some skills that will make you stand out: Apache Spark, Iceberg, Kafka, dbtScikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, RayAWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CDKnowledge Graphs (+ RAG), graph ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering ...

scale data pipelines, with a strong grasp of data structuring for performance and efficiencyHands-on experience with Airflow for orchestrating complex data workflows, and Apache Iceberg for table format management at scaleExtensive AWS experience including EKS, Docker, and Kubernetes; comfortable owning infrastructure deployment and scaling decisionsCI/CD fluency ...

inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices ...

SnowflakeDeep hands-on experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices ...

Redshift).Semantic Layer: Design and implementation for governed reusable data views.Data Governance Tools: Collibra, Alation, Talend or equivalent.Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica)Security: Data Privacy, Data Protection & Encryption frameworks & governanceEnterprise Architecture Frameworks: TOGAF, Zachman; familiarity with ITIL processes.Additional Helpful Skills:Cloud Platform Awareness ...

networking CI/CD The Atlassian Suite (JIRA, Confluence, Bitbucket, Bamboo) Azure Services Machine learning algorithms Big Data (Hadoop, Azure Data Lake, S3, Apache Spark) Additional programming languages – Python, Scala, Typescript, CSS 3/SASS (or other pre-processors) Other Information The successful candidate will be rewarded with competitive ...

Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities. This is a senior, hands-on leadership role where ...

project stakeholders; Strong problem-solving skills; Ability to refine problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs ...

scraping pipelines to ensure data accuracy and reliability.Required Technical SkillsStrong proficiency in Python.Experience with monitoring and observability tools.Hands-on experience with workflow orchestration tools - Apache Airflow.Familiarity with data pipelines and ETL processes.Proficiency with containerization and orchestration technologies - Docker, KubernetesStrong understanding of CI/CD pipelines and toolsStrong problem-solving ...

ensure data accuracy and reliability. Required Technical SkillsStrong proficiency in Python. Experience with monitoring and observability tools. Hands-on experience with workflow orchestration tools - Apache Airflow. Familiarity with data pipelines and ETL processes. Proficiency with containerization and orchestration technologies - Docker, KubernetesStrong understanding of CI/CD pipelines and toolsStrong ...