Hadoop Jobs in San Francisco
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Search Results - Hadoop Jobs in San Francisco
CatchProbe Intelligence Technologies-San Francisco
Senior Database Engineer(Elastic/Mongo/Hadoop)
Senior Database Engineer(Elastic/Mongo/Hadoop)
Workplace Type : Remote -Region : San Francisco, CA
Job Description
• Must have experience with MongoDB installations, upgrades, support on MongoDB...
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Coforge-San Francisco
on-prem data warehouses (Oracle, Teradata, etc.) to Snowflake.
Demonstrated experience migrating Hadoop environments to Databricks, including Spark, Hive, and HDFS.
Deep expertise in SQL, Spark, Python, and distributed data processing frameworks.
Strong...
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CatchProbe Intelligence Technologies-San Francisco
A leading technology firm is seeking a Senior Database Engineer to manage and optimize their database infrastructure. This role will involve extensive work with MongoDB, ElasticSearch, and Hadoop, requiring strong automation and scripting skills...
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FROG DESIGN-San Francisco
Hadoop, Spark)
Strong understanding of data mining techniques and data modeling
Excellent problem-solving and communication skills
Qualifications
Master's degree in Data Science, Computer Science, Statistics, or related field
Certified Data...
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jobvertise.com -
Capgemini-San Francisco
and Hadoop technologies. Responsibilities include providing technical guidance throughout the project lifecycle, managing testing and deployment, and driving sales opportunities. A Bachelor's degree is required, along with certifications in relevant...
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Info Resume Edge-San Francisco
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink
Experience with containerization...
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careers-page.com -
Chuckhole-San Francisco
with Airflow, Keytab, Trino, Kubeflow, Webhdfs, Hive, Pyarrow, Hadoop. Integration to mobile
We’re Changing the Way the World Thinks About Road Hazards
Permanent
What You’ll Do
1. pre-trained, ready-tune predictive time stamped image recognition generative...
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Amazon-San Francisco
ensuring accuracy, consistency, and reliability- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
• Experience...
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amazon.jobs -
Zipstack-San Francisco
architecture
• Experience with Spark, Presto, Flink, Hadoop
• Experience with Apache Airflow
• Experience building ETL pipelines
#J-18808-Ljbffr...
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Artech-San Francisco
with building data pipelines in a programming language like Python
Hands-on experience with building and maintaining Tableau dashboards and/or Jupyter reports
Working understanding of Hadoop and Big data analytics Ability to understand the needs...
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jobvertise.com -
Pinterest-San Francisco
Hadoop/Spark)
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
• Nice to have:
• Publications at top ML conferences
• Expertise in scalable realtime systems that process stream data...
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EchoTwin AI, Inc.-San Francisco
and big data platforms (e.g., Hadoop, Spark).
• Familiarity with smart city technologies, including sensor networks, edge computing, and asset management software.
• Excellent problem‑solving skills with the ability to handle complex, ambiguous data sets...
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Capgemini-San Francisco
Job Description - GCP Cloud Data Architect (053728)
Cloud Architect (engineer) who has experience in Cloud (preferably GCP), Hadoop (Spark, Hive, and/or Presto), BASH or Python scripting, understanding of CI/CD concepts, Solution Architecture...
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EchoTwin AI-San Francisco
and big data platforms (e.g., Hadoop, Spark).
• Familiarity with smart city technologies, including sensor networks, edge computing, and asset management software.
• Excellent problem-solving skills with the ability to handle complex, ambiguous data sets...
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Azumo, LLC-San Francisco
Machine Learning.
• Familiarity with big‑data ecosystems (Spark, Hadoop).
• Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
• Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
• Experience with Large Language Models...
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