142 Computer Technician jobs in Overgaard, AZ

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Information Systems Technician

U.S. Navy

Taylor, AZ 85939

Education AssistanceHealth InsuranceRetirement Benefit

New, Posted 1 day ago

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Counter Sales Representative

Arizona Building Supply

Heber, AZ 85928

Onsite

High School Diploma or GED required.
Must be able to multi-task.
Must be able to drive and walk throughout yards, plants and offices
Must be detail oriented and highly observant.
Must possess good mathematic skills. Able to use a calculator and computers.
Computer literate with Microsoft Office products and Trend system

SmartExplore AI is experimental.

Multi-Unit Leader

Sonic Drive In

Taylor, AZ 85939

~ 37 min Onsite

Knowledge of recruiting, interviewing, and labor laws.
Basic accounting and computer skills.
Ability to work independently, multi-task, and solve problems effectively.
Leadership, communication, and supervisory skills.
Experience in multi-unit supervision is required.
Minimum of three years of restaurant management experience, preferably in QSR, with shift management experience.
High school diploma or equivalent; higher education in business or restaurant management preferred.
Availability to work irregular hours, including nights, weekends, and holidays.
Adherence to company appearance, uniform, and hygiene standards.

SmartExplore AI is experimental.

ATCI-4990089-S1865430

Accenture

Snowflake, AZ 85937

~ 38 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

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Mac Tools Outside Sales Distributor - Full Training

Mac Tools

Show Low, AZ 85901

~ 40 min OnsiteUrgently HiringFlexible Schedule

Financial strength
Variety of financing options
Strong credit profile
Initial down payment

SmartExplore AI is experimental.

New, Posted 1 day ago

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My Assistant Specialist

Advisor Group

Holbrook, AZ 86025

New, Posted 12 hours ago

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Housekeeping Supervisor PM

Enchantment Resort

Sedona, AZ 86336

High school diploma or GED

Driver License

~ 2 hr 34 min Onsite

90% walking, standing and bending
Ability to drive golf cart
Lifting/Carrying up to 50 lbs.
Ability to direct staff in a positive manner.
High school graduate or equivalent.
10% Sitting
Use of cleaning solutions
Prior housekeeping supervisory experience required.
Must be detail oriented, strong verbal and written communication skills.
English skills necessary to communicate with guests.
Ability to work in all types of weather conditions
Distance vision 1-3 feet
Hearing and Manual dexterity

SmartExplore AI is experimental.

Senior Data Warehouse Architect

Sesheng, LLC

Snowflake, AZ 85937

Remote

Strong experience with SQL, Python, and other scripting languages.
Experience with data governance and data quality initiatives.
Ability to work independently and as part of a team.
Experience with data integration tools and technologies (ETL/ELT tools, data pipelines).
8+ years of experience as a Data Architect or a similar role.
Deep understanding of data modeling techniques (dimensional modeling, data vault) and data warehousing best practices.
Excellent communication, interpersonal, and presentation skills.
Bachelor's degree in Computer Science, Engineering, or a related field.
Proven expertise in designing and implementing data warehousing solutions on AWS, with a strong emphasis on Snowflake.
Strong analytical and problem‑solving skills.

SmartExplore AI is experimental.

Data Architect

InData Labs Group

Snowflake, AZ 85937

RemoteFlexible Schedule

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
Hands-on experience with ETL frameworks, data pipelines, and orchestration tools (e.g., Apache Airflow, Fivetran, Talend)
Solid understanding of data governance, metadata management, and data lineage tools
Experience working with modern data stack technologies (e.g., Databricks, Kafka, Spark, dbt)
7+ years of experience in data architecture, data engineering, or database design
Strong SQL and at least one programming language (Python, Scala, or Java)
Strong expertise in relational and non-relational databases (e.g., PostgreSQL, SQL Server, MongoDB, Snowflake, Redshift, BigQuery)
Proficiency in data modeling tools (e.g., ER/Studio, ERwin, dbt, Lucidchart)

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Software Engineer

AI Technology Insights

Snowflake, AZ 85937

Paid Relocation to Snowflake, AZ

Remote

Cloud Data Platforms – Hands-on experience with Azure Data Lake, AWS Redshift, Google BigQuery, or other cloud-based data solutions
Problem-Solving & Business Acumen – Ability to translate complex data into actionable insights and align solutions with business goals
BI & Visualization Tools – Proficiency in Tableau, Power BI, or similar tools for data visualization and reporting
Collaboration & Communication – Strong interpersonal skills with a positive, “can-do” attitude to work effectively with cross-functional teams
Skills/Experience
Big Data & Streaming – Familiarity with Kafka, Snowflake, Hadoop, or Databricks for handling large-scale data processing
Database Expertise – Strong experience with SQL and NoSQL databases for querying, data modeling, and performance optimization
Senior Software Engineer
Responsibilities
ETL & Data Engineering – Expertise in Azure Data Factory (ADF), Apache Spark, Airflow, or other ETL tools to design scalable data pipelines
Programming for Data Processing – Proficiency in Python (Pandas, NumPy, PySpark), R, or similar for data manipulation and analysis

SmartExplore AI is experimental.