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Data Engineer Gcp Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Familiarity with major cloud platforms (AWS, GCP, Azure). * DATA ARCHITECTURE:Experiencewithmodern ... PROGRAMMING:Proficientwithprogrammingin Python, Java, Scala, or similar languages. Expert ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer The Opportunity: Ever-expanding technology such as IoT, machine learning, and ... Experience with public cloud platforms such as AWS, Azure, and GCP * Experience with distributed ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,) * Any one of the Data ... Data Engineering on Microsoft Azure, etc.

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and ... Deep expertise in Google Cloud Platform (GCP), including Dataflow, BigQuery, Pub/Sub, Composer ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and ... Deep expertise in Google Cloud Platform (GCP), including Dataflow, BigQuery, Pub/Sub, Composer ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and ... Deep expertise in Google Cloud Platform (GCP), including Dataflow, BigQuery, Pub/Sub, Composer ...

Data Engineer

Atlanta, GA · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer The Opportunity: Ever-expanding technology such as IoT, machine learning, and ... Experience with public cloud platforms such as AWS, Azure, and GCP * Experience with distributed ...

Data Engineer

Atlanta, GA · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Engineer at Booz Allen, you'll help build advanced technology solutions and implement ... Experience with public cloud platforms such as AWS, Azure, and GCP * Experience with distributed ...

Senior Data Engineer

Atlanta, GA · On-site

$160K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

CI/CD; writing, testing, and deploying code using DevOps; DevOps Pipelines (Azure, AWS, or GCP ... Databricks, dbt, modern cloud data lake house technologies; data engineering (SQL/Python)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business questions into engineering tasks and contribute to technical planning ... Experience working with cloud-based data platforms (AWS, GCP, or Azure). Preferred Qualifications

Data Engineer

Atlanta, GA

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business questions into engineering tasks and contribute to technical planning ... Experience working with cloud-based data platforms (AWS, GCP, or Azure). Preferred Qualifications

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is ...

Data Engineer

Valdosta, GA · On-site

$92K - $111K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Savannah, GA · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Carrollton, GA · On-site

$103K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Showing results 21-40

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Georgia?

For Data Engineer Gcp Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Georgia look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Georgia with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer

Cargill

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 23 days ago


Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 221 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with lifes essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thingtoday and for generations to come.

Job Purpose and Impact

The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA & ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
  • DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
  • STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications

Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Qualifications

  • CLOUD ENVIRONMENTS:Familiarity with major cloud platforms (AWS, GCP, Azure).
  • DATA ARCHITECTURE:Experiencewithmodern data architectures, including data lakes, datalakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability.
  • DATA INGESTION:Proficiencyin data collection,ingestion tools(Kafka, AWS Glue), and storage formats(Iceberg, Parquet).
  • DATA STREAMING:Knowledge of streaming architectures and tools (Kafka, Flink).
  • DATA MODELING:Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow).Experience withmodelingconceptslike SCDand schema evolution.
  • DATA TRANSFORMATION:Familiaritywithusing Spark for data transformation, including streaming,performance tuning, anddebugging with SparkUI.
  • PROGRAMMING:Proficientwithprogrammingin Python, Java, Scala, or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization.
  • DEVOPS:Demonstratedexperience in DevOps practices, including code management, CI/CD, and deployment strategies.
  • DATA GOVERNANCE:Understanding ofdata governance principles, including data quality, privacy, and security considerations for data product development and consumption.


The business will not sponsor applicants for work visa for this position.

Equal Opportunity Employer, including Disability/Vet.


To apply using chat/text, please click Apply Now button OR use this link to create a login to apply.

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US