1 to 25 of 49 Hadoop Jobs

Experience Strong experience with SQL, relational databases, and NoSQL systems.Proficiency in Python, Scala, or Java for data engineering tasks.Experience with big data tools (Spark, Hadoop, Kafka, FlinkKnowledge of ETL/ELT tools (Airflow, dbt, Glue, InformaticaFamiliarity with data warehousing (Snowflake, BigQuery, RedshiftUnderstanding of data modeling, normalization, and data governance.Experience ...

environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical ...

environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical ...

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 ...

techniques. Cloud & MLOps: Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools. Data Handling: Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC). Soft Skills: Strong problem-solving, communication, and ability to work in agile teams. Preferred Qualifications Experience with transformer ...

techniques. Cloud & MLOps: Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools. Data Handling: Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC). Soft Skills: Strong problem-solving, communication, and ability to work in agile teams. Preferred Qualifications Experience with transformer ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

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 BFSI Industry is required. Experience in defining and designing data governance, data management, and data security solutions for an enterprise ...

make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications. WHY JOIN US Providing ongoing training, mentorship ...

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 ...

substituted for a bachelor's degree. Demonstrated experience with distributed scale Big Data stores (i.e. Accumulo), Map/Reduce programming model (i.e. Hadoop), Hadoop Distributed File System, and data serialization (i.e. JSON). Experience with programming languages such as Java and scripting languages such as Perl, Python, Bash. ...

experience in the same or similar IT/Computer-related field. Required experience must include experience working with: Development tools: Spark, Scala, Python, Hadoop, and Shell scripts; DevOps tools: GitHub, Jenkins, SonarCube, Checkmarx; AWS Cloud; CI/CD pipeline development; Agile development. Permanent U.S. work authorization is required ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

Neo4J ETL, ESB, API or similar data integration experience Development experience such as Python Exposure to big data tools or architectures such as the Hadoop ecosystem Experience with NLP or OCR technologies Desirable: Knowledge of generative AI concepts or frameworks Experience with containerisation such as Docker Experience in industrial ...

implementations Should have strong experience in converting SQL/PL, Data transformations, Data quality and complex SQL's into data lake Experience using Hadoop Distribution and it's all services for example: YARN, KUDU, OOZIE, IMPALA, HIVE, HBASE, SPARK Working knowledge of Java/Python & REST API Conducts facilitated ...

Glue, or MS Fabric. Proficiency in core data integration languages like SQL and Python. Knowledge of data lakes, simulation, and warehousing technologies (e.g., Hadoop, Snowflake, AWS S3). Familiarity with Artificial Intelligence and Machine Learning platforms (e.g., Azure AI, AWS Sagemaker). Strong understanding of data quality, security ...

haven't been siloed in a big firm then don't worry. Additional exposure to the following is desired: - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home ...

haven’t been siloed in a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home ...

I'm supporting an organisation that's undergoing a large scale digital transformation, and they're looking for a Data Engineer who can help design and build the foundations of a modern data ecosystem. If ...

I’m supporting an organisation that’s undergoing a large scale digital transformation, and they’re looking for a Data Engineer who can help design and build the foundations of a modern data ecosystem. If ...

junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). The Role As a Tech Lead , you will play a critical role in designing, building, and maintaining data pipelines and infrastructure that enable … junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data ...