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Big Query Jobs in Georgia (NOW HIRING)

Factspan Inc

Java Developer

Atlanta, GA · On-site

$49 - $63.50/hr

Must have: Tech: Java, Spring Boot, Google Cloud Platform, Big Query, SQL, Python, Airflow, Apache Beam Key Responsibilities: * Design and develop data ingestion, transformation, and orchestration ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Atlanta, GA · On-site

$109K - $131K/yr

... Expertise in SQL, Big Query • Ability to write complex SQL to perform common types of analysis and aggregations • Experience with Apache Airflow or Google Composer • Detail-oriented and ...

Polar IT Services

Lead Data Governance

Alpharetta, GA · On-site +1

... Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 www.polarits.com ...

Akshaya Inc

Adobe AEP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Skills required: strong proficiency in SQL, Python/Scala, ETL/ELT frameworks, APIs, and cloud platforms (Google Cloud Platform-Big Query), along with hands-on experience in AEP components, XDM schema ...

Polar IT Services

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

... Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 www.polarits.com ...

Polar IT Services

Lead Data Scientist

Alpharetta, GA · On-site

... Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 www.polarits.com ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Write efficient code to extract, transform, load, and query very large datasets, including unstructured data. Develop standards and new design patterns for Big Data applications. Understand MapReduce ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

Strong SQL and/or Big Query skills in Big Data environment. * Formal coursework and/or familiarity with AI/Machine learning * Experience working with large datasets, knowledge of distributed ...

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Big Query information

What are typical daily responsibilities for someone in a BigQuery Engineer position?

A BigQuery Engineer typically focuses on designing, developing, and maintaining cloud-based data warehouses, ensuring that data pipelines are efficient and reliable. Daily tasks often include writing and optimizing SQL queries, managing ETL (Extract, Transform, Load) processes, and collaborating with data analysts and stakeholders to deliver data solutions. The role also involves troubleshooting performance issues, maintaining data quality, and implementing best practices for security and cost optimization. Teamwork and regular communication with both technical and non-technical colleagues are key to ensuring data solutions align with business goals.

What is a BigQuery job?

A BigQuery job is a unit of work that BigQuery executes on your behalf, such as running a query, loading data, exporting data, or copying a table. Jobs are asynchronous and can be monitored for completion using job IDs. Each job runs in the context of a specific project and may consume processing resources based on the complexity of the task.

What are the key skills and qualifications needed to thrive in the Big Query position, and why are they important?

To excel in a BigQuery Engineer role, you need a strong background in SQL, data modeling, and cloud-based data warehousing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), especially BigQuery, along with certifications like Professional Data Engineer, is highly valuable. Attention to detail, problem-solving ability, and effective communication are important soft skills for this position. These competencies enable efficient handling of large datasets, ensure data accuracy, and foster smooth collaboration with analytics and engineering teams.

What are popular job titles related to Big Query jobs in Georgia? For Big Query jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Big Query jobs in Georgia look for? The top searched job categories for Big Query jobs in Georgia are:
What cities in Georgia are hiring for Big Query jobs? Cities in Georgia with the most Big Query job openings:
Big Query jobs near you
Infographic showing various Big Query job openings in Georgia as of July 2026, with employment types broken down into 2% As Needed, 67% Full Time, 26% Part Time, 1% Temporary, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Technical Lead Big data

Futran Tech Solutions Pvt. Ltd.

Atlanta, GA • On-site

Full-time

Re-posted 23 days ago

Job description

  • 10 years of experience and working as a Lead Data Engineer
  • Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud Data Proc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud Big Query, Cloud Pub Sub, Cloud storage Cloud Functions & GitHub
  • Experience working in GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries
  • Mentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing team
  • Possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders
  • Coordinate with developers architects stakeholders and cross functional teams from organization and customer side
  • Strong Programming experience in Python or Java Experience with Data modeling and mapping.
  • Experience in Google Cloud platform (especially Big Query) Experience developing scripts for flowing data into GBQ from external data sources.
  • Experience in Data Fusion for automation of data movement and QA. Experience with Google Cloud SDK & API Scripting.
  • Experience in per forming detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
  • Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be great
  • Data migration experience from on prim legacy systems Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platform
  • Experience with Data Lake, data warehouse ETL build and design
  • Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.
  • Experience in implementing next generation data and analytics platforms on GCP cloud
  • Experience in Jenkins, Jira, confluence.

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