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Remote Hive Jobs in Texas (NOW HIRING)

My3Tech Inc

Sr. Cloud Data Engineer

Houston, TX · Remote

$53.25 - $71.25/hr

Remote/Onsite every Thursday- Houston, TX Duration: 10+ Months (with the possibility of extension ... Experience with streaming/processing engines for big data (Spark, Kafka, Hive, Hadoop, etc.

NTT Data Americas, Inc.

Developer / Engineer

Irving, TX · On-site +1

... Hive, Pig, Impala, Spark, Kafka). * Minimum 7+ years of Working experience on Relational/Non ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA

Developer / Engineer

Irving, TX · On-site +1

... Hive, Pig, Impala, Spark, Kafka). * Minimum 7+ years of Working experience on Relational/Non ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Developer / Engineer

Irving, TX · On-site +1

... Hive, Pig, Impala, Spark, Kafka). * Minimum 7+ years of Working experience on Relational/Non ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Developer / Engineer

Irving, TX · On-site +1

... Hive, Pig, Impala, Spark, Kafka). * Minimum 7+ years of Working experience on Relational/Non ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT America

Developer / Engineer

Irving, TX · On-site +1

... Hive, Pig, Impala, Spark, Kafka). * Minimum 7+ years of Working experience on Relational/Non ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Booz Allen Hamilton, Inc.

Data Scientist

San Antonio, TX · On-site +1

$77.50K - $176K/yr

Remote Work: Yes Job Number: R0233287 Location: San Antonio,TX,US Share job via: Share Data ... Hive, EMR, Kafka, Spark, Gurobi, or MySQL * 2+ years of experience with Machine Learning, AI, GIS ...

Steer

Manager of Scaled Customer Success

Austin, TX · Remote

Operationalize the "Hive-Mind": Transition the team from informal Slack-based collaboration to a ... We Offer * 100% remote work environment * Medical, Dental and Vision insurance within 30 days * 100 ...

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Remote Hive information

What are the key skills and qualifications needed to thrive as a Remote Hive Data Engineer, and why are they important?

To thrive as a Remote Hive Data Engineer, you need a strong background in data engineering, SQL, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with Apache Hive, Hadoop, cloud platforms like AWS or Azure, and data pipeline tools is typically required, along with relevant certifications. Excellent problem-solving, communication, and time-management skills are essential for collaborating remotely and ensuring data integrity. These abilities are crucial for managing large-scale data sets efficiently and enabling data-driven decision making in distributed work environments.

How does working as a Remote Hive Engineer typically differ from on-site roles in terms of team collaboration and communication?

As a Remote Hive Engineer, much of your collaboration with data engineers, analysts, and other stakeholders happens virtually through tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential since you'll be coordinating across different time zones and may have less face-to-face interaction. Regular stand-ups, documentation, and asynchronous updates help ensure alignment within the team. You'll need to be self-motivated and comfortable working independently, but also ready to engage in collaborative problem-solving sessions when complex Hive queries or data issues arise.

What are Remote Hive jobs?

Remote Hive jobs refer to positions offered by or listed on Remote Hive, a platform dedicated to connecting professionals with remote job opportunities. These jobs span various industries and roles, allowing individuals to work from anywhere with internet access. Remote Hive typically features positions in tech, marketing, customer support, and more, helping companies find remote talent globally. This flexibility supports work-life balance and access to a broader talent pool.

What is the difference between Remote Hive vs Remote Customer Support Specialist?

AspectRemote HiveRemote Customer Support Specialist
Required CredentialsVaries by role, often includes customer service or technical certificationsTypically requires customer service experience and communication skills
Work EnvironmentRemote, flexible hours, team collaboration toolsRemote, focused on assisting customers via chat, email, or phone
Employer & Industry UsageUsed across tech, e-commerce, and service industriesCommon in retail, tech, and service sectors
Search & Comparison IntentLooking for remote customer service roles with flexible optionsSeeking remote customer support jobs with specific skills

Remote Hive offers a broad platform for various remote roles, including customer support, with flexible credentials and industry usage. Remote Customer Support Specialist positions focus specifically on customer service tasks, requiring relevant communication skills. Both roles are remote and industry-spanning, but Remote Hive provides a wider range of opportunities beyond customer support.

What are the most commonly searched types of Hive jobs in Texas? The most popular types of Hive jobs in Texas are:
What are popular job titles related to Remote Hive jobs in Texas? For Remote Hive jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Hive jobs in Texas look for? The top searched job categories for Remote Hive jobs in Texas are:
What cities in Texas are hiring for Remote Hive jobs? Cities in Texas with the most Remote Hive job openings:
Remote Hive jobs near you
Sr. Cloud Data Engineer

Sr. Cloud Data Engineer

My3Tech Inc

Houston, TX • Remote

$53.25 - $71.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Sr. Azure Cloud Data Engineer

Role: Sr. Azure Cloud Data Engineer

Location: Remote/Onsite every Thursday- Houston, TX

Duration: 10+ Months (with the possibility of extension)

Responsibilities

  • Development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness
  • Builds prototypes, products, and systems that meet the project quality standards and requirements
  • Provides technical leadership and documentation to developers and stakeholders
  • Contributes to and supports re-use through common components that are well documented and tested.
  • Provide timely corrective actions on all assigned defects and issues.
  • Contributes to development plan by providing task estimates.

Background

  • Bachelor’s degree or higher in Computer Science or related with a minimum of 10 years of working experience Skills and knowledge:

Mandatory

  • In-depth expertise with Azure Cloud Platform and Databricks Spark (or equivalent)
  • Experience with streaming/processing engines for big data (Spark, Kafka, Hive, Hadoop, etc.)
  • Expertise with one or more backend programming languages – Java/C#, Python. Experience working with typical industry-standard libraries for respective languages.
  • Database expertise – relational and NoSQL (Oracle, SQLServer, MySQL, Cassandra, etc.)
  • Knowledge of application networking and troubleshooting
  • Knowledge of security principles (Oauth2, JWT, OpenAPI)
  • Experienced in application profiling, bottleneck analysis, and performance tuning • Knowledge and experience with version control tools (Git preferred but not mandatory)
  • Understand continuous integration and continuous delivery technologies such as Jenkins, Azure DevOps
  • Experience with test-driven software development, ability to implement and maintain Unit tests, etc.
  • Familiar with code quality tools and best practices
  • Experience with working in an agile environment

Nice to have

  • Extensive experience development of web/cloud microservices
  • Experience with big data processing on other cloud platforms - AWS, GCP, OpenShift, etc.
  • Monitoring/operational readiness expertise
  • Experience with BI/visualization tools: Talend, Tableau, PowerBI, Kibana, etc.

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