1 to 25 of 128 Hadoop Jobs

Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design Familiarity with containerization tools (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices ...

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 Hands on coding experience, such ...

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 Hands on coding experience, such ...

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 Hands on coding experience, such ...

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 ...

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. Tableau, PowerBI ...

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 ...

Scala, and SQL. Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud-native data platforms, with strong expertise ...

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 Hands on coding experience, such ...

Azure, GCP).Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ ...

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. Tableau, PowerBI ...

database architecture (SQL and NoSQL)Experience with cloud technologiesExperience with cloud platformsExperience with CI/CD practicesExperience with big data tools e.g. Spark, Hadoop, NiFiExperience managing direct reports, providing regular guidance and performance feedbackAbility to create delivery plans with estimated timelines for personal and team workloadsExperience supporting ML model ...

NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ...

NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ...

experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline lifecycle development, including extensive experience ...

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 and CI/ ...

data pipeline deployment and monitoring using CI/CD tools and infrastructure-as-code practices. Expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark).Experience collaborating with cross-functional teams to deliver impactful data solutions. Ability to evaluate ...

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 of interfacing ...

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 with ...

planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform: Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda ...

deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver ...

deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What We Are Looking ...

technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, KafkaData formats: JSON, Avro, ParquetPlatforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQEngineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevantYou will also work with internal data management ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...