1 to 25 of 30 Permanent Hadoop Jobs

practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such as DBT), SQL, NoSQL ...

requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud xohmjla data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ ...

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 ...

/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face ...

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 ...

years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data ...

energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

work with modern, “shiny” tools and influence what we adopt next. Use workflow tools such as ADF/Airflow and big data technologies (Spark, Hadoop, Kafka) Private healthcare for you and your family Company pension scheme Flexible benefits (gym membership, tech, health assessments and more) Access to an online ...

advanced SQL . Data Engineering Experience with ETL/ELT and orchestration tools like Apache Airflow or NiFi . On-Prem Tech Proficiency with Hadoop/HDFS , Spark , and containerization via Docker/Kubernetes (K3s/OpenShift) . AI/ML Practical experience with NLP (HuggingFace) and GenAI frameworks ...

techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced ...

Triton, ONNX runtime). Familiar with AI tools like Cursor, Copilot, and Claude. Data Handling: Experience with big data technologies and tools such as Hadoop, Spark, or similar. Algorithm Knowledge: Good understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge of AI ethics and governance. • Methodologies: Agile and Scrum project management. Desired Skills & Experience • Deep knowledge of machine learning operations ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

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 ...

Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong leadership, communication, and stakeholder management ...

exchange and processing experience including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background ...

exchange and processing experience including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background ...

experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data ...

support and migration experience Desirable knowledge and experience: AWS accreditation Knowledge of COTS products (including but not limited to; Elasticsearch, NiFi, Rabbit, Kafka, MongoDB, Hadoop, Ansible, Git and Kubernetes) Development of dashboards for monitoring and alerting through Grafana, Splunk, Prometheus and OpenText Om and Ops Bridge On prem ...