1 to 25 of 207 Apache Jobs

latency, high-throughput services for personalisationDeveloping Java/Spring Boot microservices with REST/gRPC APIsWorking with Kafka and event-driven architecturesBuilding pipelines using Apache Flink and Apache BeamIntegrating ML models and feature storesWorking with NoSQL databases and Redis cachingUsing Apache Camel for integration where requiredCollaborating with … event-driven systemsFamiliarity with stream processing conceptsKnowledge of distributed systemsStrong communication and teamwork skillsInterest in data-driven personalisation systems Nice to haveExperience with Apache Flink and Apache BeamExperience with KafkaFamiliarity with Apache CamelExperience with NoSQL databases (Cassandra, DynamoDB) and RedisCloud experience (GCP or AWS)Docker and KubernetesML ...

supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred)Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred)Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting ...

using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence ...

quality and consistency across platforms while complying with governance policies. What You Bring: Core Development Skills:- Proficient in Python and SQL, with experience in Apache Spark.- Strong experience building backend services and APIs. Database Expertise:- Solid understanding of relational databases (SQL Server, PostgreSQL) and distributed NoSQL databases (Cassandra, MongoDB ...

quality and consistency across platforms while complying with governance policies. What You Bring: Core Development Skills: - Proficient in Python and SQL, with experience in Apache Spark. - Strong experience building backend services and APIs. Database Expertise: - Solid understanding of relational databases (SQL Server, PostgreSQL) and distributed NoSQL databases (Cassandra, MongoDB ...

data quality and consistency across platforms while complying with governance policies.What You Bring:Core Development Skills:- Proficient in Python and SQL, with experience in Apache Spark.- Strong experience building backend services and APIs.Database Expertise:- Solid understanding of relational databases (SQL Server, PostgreSQL) and distributed NoSQL databases (Cassandra, MongoDB, Cosmos ...

development and automation capabilities, to improve the value realized by automationRequired qualifications, skills and capabilitiesExperience with building data pipelines on Databricks and/or Apache Spark in production.Strong coding skills in Python (PySpark) and SQL (Scala a plus).Hands-on experience with Delta Lake (MERGE/UPSERT patterns, schema ...

technologies as our stack evolves.Nice to HaveExperience with stream processing frameworks such as Flink or Spark Streaming.Experience with task orchestration tools such as Apache Airflow or similar systems.Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT.Experience working with and designing infrastructures for large-scale data processing ...

expected to be up to 10% but may increase over time as the business evolves.Desired QualificationsExperience working with distributed data processing frameworks, including Apache Spark.Exposure to advanced analytics or AI‐adjacent data use cases, including preparing data for machine learning or intelligent applications.Familiarity with additional Azure services such ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. ...

Advanced experience operating Delta tables at scale, covering transaction semantics, schema evolution, partitioning, and compaction, alongside highly optimised analytical query execution using DuckDB or Apache Spark.• Production-grade relational database expertise, particularly PostgreSQL (query tuning, indexing, partitioning, replication, and schema design across OLTP and analytics).• Strong KDB experience ...

testing, and deployment.Deep understanding of Quantexa components such as:Entity Resolution (ER)Scoring FrameworkContextual Network GenerationUI ConfigurationStrong background in Big Data technologies, including:Scala, Apache Spark, Hadoop, ElasticSearchExperience with data modelling and design in the context of large-scale analytics platforms.Strong stakeholder management and communication skills – capable of interfacing ...

maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.Implement continuous integration and continuous deployment ...

understanding of Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable ...

Data pipeline development and optimisation Lakehouse architectures ETL/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon S3 AWS Glue Apache Airflow IAM AWS Lambda (desirable) Data Architecture & Modelling Knowledge and practical experience of: Data Vault Kimball methodology Dimensional modelling Data warehousing principles Enterprise data ...

Computer Science, Engineering, Information Technology or equivalent work experience. • Strong knowledge and hands on experience of big data technologies such as data lakes, Apache Spark, Flink, Kafka etc. • Good knowledge of data warehousing concepts and ETL processes, DevOps, CI/CD and software testing. • Expertise with one of programming ...

design approaches.You 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 of DevOps practices ...

within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.Data acquisition and development of data sets and improving data qualityPreparing data for predictive and prescriptive modellingHands on coding experience, such ...

large-scale data processing.Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning.Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar).Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.).Strong understanding of data quality, security, and lineage best ...

design data architectures that facilitate model training and inference.Data Governance Tools: Familiarity with data governance or data cataloguing tools (such as Collibra, Alation, or Apache Atlas) and lineage-tracking systems. Hands-on experience setting up or maintaining a data catalogue, documenting data definitions, or automating data lineage capture ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data ...

volume, data-intensive environments. Extensive AWS experience including services such as Glue, Lambda, S3, Redshift, and wider cloud-native data tooling. Strong knowledge of Apache Spark and large-scale data processing. Experience working with streaming technologies such as Kafka. Expert SQL and data modelling capabilities. Experience designing modern data ...

QualificationsExperience in Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering roles, with exposure to Azure Strong hands-on experience with Python and Apache Spark Experience with Azure data platform technologies such as Azure Databricks, ADLS Gen2, and Unity Catalog Working knowledge of security and access management (RBAC ...

Learning (ML):• Deep understanding of machine learning principles, algorithms, and techniques.• Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark.• Proficiency in data preprocessing, feature engineering, and model evaluation.• Knowledge of ML model deployment and serving strategies, including containerization and microservices.• Familiarity with ...

platformsAdvanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDDExperience with big data frameworks such as Apache Spark or similar technologiesSolid understanding of data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure ...