1 to 25 of 58 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 ...

collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least ...

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. ...

supporting the sales process of technical services at the enterprise level Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau) OLAP Data modeling and data architecture experience Expertise ...

driven insights and support their business growth. Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized ...

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 ...

/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 ...

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 ...

Utilize Python, R, SQL, and Spark for data analysis and machine learning. Develop machine learning algorithms, data visualizations, and work with big data technologies (Hadoop, Spark, NoSQL databases, Hive). Use cloud computing platforms (AWS, GCP, Azure) for data processing and analysis. Design and manage data pipelines and infrastructure. ...

Hands on experience with Unix based command line and DevOps tools (Git, Docker, Kubernetes). Hands on experience with big data technologies (e.g. Spark, Hadoop, Databricks). You have a strong interest in data and AI related topics, the ability to quickly build expertise in these areas ...

Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes). Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks). You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas ...

Science, AI/ML, or related field Experience with LLMs and generative AI Experience with containerization (Docker, Kubernetes) Familiarity with big data technologies (Spark, Hadoop) Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with API development and deployment Contributions to open-source AI/ML projects Published research ...

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 ...

driven insights and support their business growth. Big Pharma International Company : Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized ...

unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters ...

related field. Experience in applying AI techniques in industries such as healthcare, finance, or e-commerce. Familiarity with big data platforms like Hadoop, Spark, and AWS. Published research in reputable AI or machine learning conferences or journals. xnkfpon Alle kandidaten dienen de volgende functieomschrijving en informatie zorgvuldig te lezen ...

other relevant fields is preferred. Highly proficient in R, Python, SQL for data analysis and modeling, familiar with big data platforms such as Hadoop, Hive, Spark. Experience designing, analyzing and optimizing testing methods. Experience in predictive modeling and analysis over large datasets. Ability to work in an analytical ...

Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

techniques to real problems with copious amounts of data. Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued). Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains. Ability ...

frameworks such as TensorFlow, PyTorch, or Scikit-Learn 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks) 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure 3+ years of experience applying experimental ...

/Scala based applications. Expert level knowledge in python is desired . Solid experience with SQL-based database is required. Two year experience with Hadoop/Spark in either an administrative, development or support role is required. Hands-on experience with AWS or Azure. Candidate must possess excellent English ...

emerging data technologies, products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview ...

data warehousing, OLTP systems, data integration, and the software development lifecycle (SDLC). Hands-on experience with big data frameworks such as Spark, Hadoop, or Hive, including derivatives like PySpark (preferred), Spark Scala, or Spark SQL, along with familiarity with development-accelerating libraries and frameworks. Experience using data modelling … tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. ...