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Home Based Data Storage Jobs in Georgia (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will bring strong expertise in cloud-based data processing, big data ... Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

The ideal candidate will bring strong expertise in cloud-based data processing, big data ... Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.

Data Program Architect

Atlanta, GA

$61.25 - $78.75/hr

This role owns critical architectural decisions across data storage, integration, access patterns ... Lead architectural design for enterprise data systems, including Oracle-based transactional ...

The storage Administrator will be a team lead whom should be efficient in handling a team ... SAN) based data backup design and configuration. Experience with data protection and backup ...

... Storage Hardware from EMC (Symetrix and Clarion), HDS (USP), Network Appliances (NAS Filer ... SAN) based data backup design and configuration. Experience with data protection and backup ...

The storage Administrator will be a team lead whom should be efficient in handling a team ... SAN) based data backup design and configuration. Experience with data protection and backup ...

Collect and document data on client progress. * Collaborate with families and team members to ... Shifts: Flexible, based on your availability * Location: Valdosta, Georgia Registered Behavior ...

The storage Administrator will be a team lead whom should be efficient in handling a team ... SAN) based data backup design and configuration. Experience with data protection and backup ...

Data Engineer Sr

Atlanta, GA · On-site

$112K - $134K/yr

Built on a solid, family foundation, we've been building homes across the United States for more ... Optimize data storage solutions using relational (SQL) and NoSQL databases. * Work with big data ...

Data Engineer Sr

Atlanta, GA

$112K - $134K/yr

Built on a solid, family foundation, we've been building homes across the United States for more ... Optimize data storage solutions using relational (SQL) and NoSQL databases. * Work with big data ...

... storage and retrieval. • Develop and maintain CI/CD pipelines for automated deployment and ... based Data tools/Platforms, • 3+ years of experience in data engineering with expertise ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain data models and schemas for efficient data storage and retrieval. Develop and ... Cloud based Data tools/Platforms, 3+ years of experience in data engineering with expertise ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... storage and retrieval. • Develop and maintain CI/CD pipelines for automated deployment and ... based Data tools/Platforms, • 3+ years of experience in data engineering with expertise ...

Design, build, and implement a new Azure-based data lakehouse platform to support business ... Implement and manage data storage solutions including Microsoft Fabric OneLake, Azure Data Lake ...

Databricks Data Engineer II

Atlanta, GA · On-site

$110K - $132K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Design, build, and implement a new Azure-based data lakehouse platform to support business ... Implement and manage data storage solutions including Microsoft Fabric OneLake, Azure Data Lake ...

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Showing results 1-20

Home Based Data Storage information

What is the difference between Home Based Data Storage vs Data Center Technician?

AspectHome Based Data StorageData Center Technician
CredentialsIT certifications, data management skillsIT certifications, network and hardware skills
Work EnvironmentRemote, home office setupOn-site data center facilities
Industry UsageData management, cloud storage servicesData center operations, hardware maintenance
Search & Comparison IntentRemote data storage jobs, data management rolesData center jobs, hardware technician roles

Home Based Data Storage roles focus on managing and maintaining data remotely, often involving cloud services and data security from a home setup. Data Center Technicians work on-site in physical data centers, handling hardware, network equipment, and infrastructure. Both roles require IT certifications but differ mainly in work environment and job responsibilities.

What are the most commonly searched types of Data Storage jobs in Georgia? The most popular types of Data Storage jobs in Georgia are:
What cities in Georgia are hiring for Home Based Data Storage jobs? Cities in Georgia with the most Home Based Data Storage job openings:

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Posted 17 days ago


Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
This position is open to direct candidates only. We are not working with third-party agencies.
Candidates must be U.S. Citizens or Green Card holders.