171 Machine Operator jobs in Woodruff, AZ

New, Posted 1 day ago

Machine Learning Solutions Architect

phData

Snowflake, AZ 85937

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Mac Tools Route Sales - Full Training

Mac Tools

Snowflake, AZ 85937

Urgently HiringFlexible Schedule

Our Veterans Program offers vets or their spouse credits of up to $25,000 towards inventory purchases
Financial strength is a key factor in our franchise approval process
Variety of financing options
Strong credit profile
Initial down payment

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New, Posted 1 day ago

ATCI-4990089-S1865430

Accenture

Snowflake, AZ 85937

~ 42 min Onsite

This position is based at Bengaluru location.
Experience with data architecture frameworks and methodologies (e.g., TOGAF)
Understanding event-driven design patterns and practices. Experience with message brokers like RabbitMQ or ActiveMQ
NoSQL Databases: Experience with at least one of the NoSQL databases like MongoDB, Cassandra, and Couchbase for handling unstructured data
A minimum of 15-18 years of progressive information technology experience is required
Query Languages: Experience with at least one of the query languages like Cypher (Neo4j), SPARQL (RDF), or Gremlin (Apache TinkerPop). Familiarity with ontologies, RDF Schema, and OWL (Web Ontology Language)
15 years full time education
Exposure to semantic web technologies and standards
Proficiency with Business Intelligence (BI) tools such as Tableau, Power BI, and QlikView
Exposure to machine learning frameworks such as TensorFlow, PyTorch, or Keras
Data Warehousing and BI Tools: Expertise in data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery)
Database Technologies: Relational Databases: Expertise in SQL databases such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server
AWS Certified Data Engineer Associate / Microsoft Certified: Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer certification is mandatory
Data Modeling and Architecture: Proficiency in data modeling techniques (conceptual, logical, and physical models)
Cloud Platforms: Experience with cloud data services from at least one of the providers like AWS (Amazon Redshift, AWS Glue), Microsoft Azure (Azure SQL Database, Azure Data Factory), and Google Cloud Platform (BigQuery, Dataflow)
A 15 years full-time education is required
IoT and Industrial Data Systems: Familiarity with Industrial Internet of Things (IIoT) platforms and protocols (e.g., MQTT, OPC UA). Experience with IoT data platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT Core
Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives
Minimum 12 year(s) of experience is required
Graph Databases: Proficiency with at least one of the graph databases such as Neo4j, Amazon Neptune, or ArangoDB
Understanding distributed computing and data processing frameworks
Knowledge of database design principles and normalization
Exposure to edge computing platforms like AWS IoT Greengrass or Azure IoT Edge
Big Data Technologies: Experience with big data platforms and tools such as Hadoop, Spark, and Apache Kafka
Experience working with one or more of Streaming data platforms like Apache Kafka, Amazon Kinesis, Apache Flink
Ability to design and implement real-time data pipelines. Familiarity with processing frameworks such as Apache Storm, Spark Streaming, or Google Cloud Dataflow
Data Governance and Security: Understanding data governance principles, data quality management, and metadata management. Knowledge of data security best practices, compliance standards (e.g., GDPR, HIPAA), and data masking techniques
Data Integration and ETL (Extract, Transform, Load): Proficiency in ETL tools and processes (e.g., Talend, Informatica, Apache NiFi). Experience with data integration tools and techniques to consolidate data from various sources
AI/ML, GenAI: Experience working on data readiness for feeding into AI/ML/GenAI applications