1 to 25 of 371 Hadoop Jobs

cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical ...

Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical ...

Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical ...

Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical ...

Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical ...

quality checks into pipelines. Knowledge of cloud infrastructure (AWS, Azure, or GCP) and database technologies including relational and non-relational stores such as Postgres, Hadoop, Elasticsearch, and Graph databases. Solid understanding of coding best practices, design patterns, CI/CD tooling, versioning, dependency management, error handling, monitoring, and alerting. ...

ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

degree, or experience in a professional field or military - Experience as technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in cloud based solution (AWS or equivalent), system, network and operating ...

skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph ...

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable: CI/CD, Infrastructure ...

performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable: CI/CD, Infrastructure ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability ...

compliant solutions Working knowledge of DevOps tools and CI/CD processes Bonus Points For Development experience in Scala or Java Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem Understanding of data privacy regulations, including GDPR, and experience working with sensitive data Ability to learn and adapt new technologies ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...

with databases or data warehouses Experience building and maintaining data pipelines for large datasets Hands-on experience with big data tools such as Spark, Hadoop, or Hive Experience working with cloud platforms such as AWS, Azure, or Databricks Exposure to machine learning frameworks and deploying or optimising models ...