1 to 25 of 60 Hadoop Jobs

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing ...

similar role. Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle). Familiarity with big data technologies such as Hadoop, Spark, and Kafka. Experience with data integration tools and platforms (e.g., Talend, Apache NiFi). Proficiency in programming languages such as Python, Java, or Scala. ...

also valued). Experience with modern data lakehouse concepts and architectures. Experience ingesting and transforming data from sources such as Kafka, REST APIs, Hadoop, etc. Experience with data pipeline orchestration tools (Azure Data Factor or similar). Experience implementing ETL/ELT pipelines using modern data lakehouse solutions. Experience ...

Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional ...

Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional ...

e.g., MySQL, PostgreSQL, Oracle) and data formats (CSV, JSON, Parquet). Exposure to cloud platforms (AWS, GCP, Azure) and/or Big Data technologies (Hadoop, Spark) is a plus. Good communication skills and ability to work in a team-oriented environment. Preferred Skills (Good to Have): Experience with tools ...

Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where ...

full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards ...

batch and real-time. Strong knowledge of programming languages/tools including Java, Scala, Spark, SQL, Hive, ElasticSearch. Most tools within the Hadoop Ecosystem are necessary, but we're mainly looking for Spark and Scala (Java if not Scala). Experience with streaming technologies such as Spark Streaming, Flink ...

machine learning techniques (classification, clustering, NLP, anomaly detection). Experience working with SQL and NoSQL databases . Knowledge of big data tools (Spark, Hadoop, or similar) is a plus. Experience deploying ML models to production environments (AWS, GCP, or Azure). Strong analytical, problem-solving, and communication skills. Preferred ...

Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms (AWS, Azure, Google Cloud). Knowledge of big data technologies (Hadoop, Spark). Background in supply chain management, pricing, risk assessment, or fraud detection. ...

where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge ...

where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge ...

where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge ...

development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience implementing CI/CD pipelines ...

application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect ...

application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect ...

Java, C++, C or similar (PHP) Frontend: ReactJS, JQuery, Bootstrap Backend & API: RESTful APIs, AJAX, microservices architecture Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase) Caching & Messaging: Redis, RabbitMQ Cloud & Containerization: Docker, AWS, IaaS, PaaS DevOps & Version Control: Git, Bitbucket, third-party testing frameworks Bonus: Experience with ...

databases like Oracle, MySql, PostgreSQLProficient in Python programming for data engineering tasks, automationsExperience with shell scripting in Linux/Unix environments.Experience with Big Data Hadoop, SparkFinancial Services experience requiredNice to have - knowledge in Machine Learning models, regression, validation ...

plus. Preferred Qualifications Certifications in Pentaho, Big Data, or Cloud Platforms (AWS/GCP/Azure). Experience with Big Data technologies (Hadoop, Spark) and cloud data services. ...

Need: Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data. Experience in defining and designing data governance, data management, and data security solutions for an enterprise across business verticals Experience ...

years' IT Architecture experience working in a software development, technical project management, digital delivery, or technology consulting environment • Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile delivery-based environment ...

equivalent experience ADDITIONAL PREFERRED QUALIFICATIONS 5 years of technical consulting experience 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. Power BI, Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale ...

government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana ...

gather requirements and translate them into functional dashboards and tools. Integrate Streamlit interfaces with backend data sources, APIs, and databases such as SQL, Hadoop, or cloud platforms. Optimize application performance forresponsiveness and scalability. Ensure security, data privacy, and compliance standards are maintained in all applications. Maintain and improve existing ...