76 to 100 of 411 Apache Jobs

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 ...

secure handling of inputs/outputs, and adherence to resiliency and security expectationsPreferred qualifications, capabilities, and skillsExperience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworksFamiliarity with AWS-native data services such as Glue, Lake Formation, Redshift, or AthenaExposure to data governance practices including ...

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 ...

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 ...

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 Meshes ...

creative mind. It would be nice if you had: It would be nice if you had: Data Engineering – experience of one or more: Apache ecosystem, SQL, Python. Web - HTML, CSS, JavaScript, XML, SOAP. Experience with Secure DevSecOps within an Agile/SAFe environment. Containerisation & Orchestration - Docker, Podman, Kubernetes, Rancher ...

engineering or business intelligence solutions. Strong proven commercial experience with Databricks. Strong experience developing ETL/ELT pipelines and data integration solutions. Experience using Apache Spark, PySpark, and Spark SQL. Strong SQL development and optimisation skills. Experience working with large and complex datasets from multiple source systems. Knowledge ...

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 ...

/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools ...

/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools ...

Stack Data Engineer should have most of the following key skills: Strong commercial experience designing and implementing data pipelines at an enterprise scale – Airflow, Apache spark etc Experience developing API’s and microservices to expose data – Java, Python etc Experience building data lakes, data warehouses and/or real ...

critical data ecosystem while supporting the delivery of high-value data products. Key Responsibilities Design, build and maintain scalable data pipelines using Databricks and Apache Spark. Develop and optimise batch and streaming data workflows, ensuring reliability, scalability and performance. Contribute to the design and implementation of modern Lakehouse data ...

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 ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

root‐cause analysis Experience building or supporting production data pipelines in a collaborative engineering environment Experience with distributed data processing frameworks such as Apache Spark Working knowledge of JSON, Avro and Parquet Nice to have: technical design ownership across multiple datasets or pipeline domains, experience guiding implementation standards ...

production problems and taking responsibility for critical infrastructure. Startup Mindset: Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment. Bonus : with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems. Benefits An Ambitious, Collaborative Culture: Join ...

internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/ ...

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 ...

written fluency in English is required — we're a distributed team and written communication is important. Preferred Qualifications Airflow for orchestration. Experience with Apache Hudi. Experience with financial, transactional, or payment data. What We Offer at Yuno Competitive Compensation. Remote Work – You can work from everywhere! Home Office Bonus ...

validate transformations and trace data across platforms. Tooling/Delivery Methods Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...

with the ability to work collaborativelyand autonomously. Strong problem-solving skills with a pragmatic and analyticaloutlook. Familiar with analytics tools such as Power BI, Apache Superset, orsimilar for building interactive and impactful visualizations Familiarity with distributed systems (e.g., Spark, Kafka) andhow they support scalable analytics solutions Passion ...

into a coherent operational story. Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines. Data platforms & analytics systems: You have ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch … streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products ...

tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data Lake/Apache Iceberg, and advanced SQL for large‐scale transformations. Microservices ...

Required Strong hands-on experience with Python, PySpark , and SQL/Spark SQL for building production-grade ETL/ELT pipelines Solid knowledge of Apache Spark , including DataFrames, joins, aggregations, partitioning, caching, and performance optimisation Experience working within Azure Databricks , including clusters, job clusters, notebooks, repositories, jobs, and Databricks ...