GCP Data Engineer

GCP Data Engineer

JConnect Infotech

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Other

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Job description

GCP Data Engineer

Greetings!!!

This is Harsh from Jconnect INC. Below is the requirement with my client. Please share the updated resume and below details.

Location: Atlanta, GA (Onsite)

Duration: Full-time only

Job Description:

Must Have Technical/Functional Skills

  • 8-10 years Google GCP Bigquery Experience with good Python Skills. Experience in Atscale or similar Cubes and have experience on Dimensional Modelling or Designing Snowflake Schemas.
  • Strong hands-on experience in Python and AtScale or similar cubes.

Roles & Responsibilities

  • Core Data Engineering:
  • Strong proficiency in SQL (advanced query optimization, complex joins, window functions, large-scale data processing)
  • Hands-on experience with Python for data processing, automation, and pipeline development.
  • Deep experience building and maintaining ETL/ELT pipelines in modern cloud environments (preferably Google Cloud Platform / BigQuery)
  • Experience with orchestration tools (e.g., Airflow, Cloud Composer) and CI/CD pipelines (e.g., Jenkins)
  • Strong understanding of data quality, data validation, and production support practices
  • Universal Semantic Layer:
  • Configure and support USL with existing Mydrill and Finance Metrics.
  • Build and maintain planning models, dimensions, metadata, and security in alignment with finance requirements.
  • Develop and support business rules / calculation scripts, web input forms, and planning dashboards.
  • Assist in performance tuning and optimization of planning calculations. Testing, UAT & Documentation
  • Support User Acceptance Testing (UAT) activities, including test execution, defect tracking, and validation of fixes.
  • Prepare and maintain functional documentation, configuration details, and user guides.
  • Assist with user training and knowledge transfer activities to ensure operational readiness.

If you are interested, please send me your updated resume ASAP with below details:

Full Name:

Alternate mail ID:

Current Location/Zip:

Expected salary:

Willingness to travel/relocate to job location:

Visa/Work Permit Status:

Notice Period/Availability to Start:

Preferred Interview timings (Specify Time zone):

LinkedIn URL:

Looking forward for your response..

Thanks and Regards,

Harsh Srivastava

Jconnect Infotech Inc.

Cherry Hill, NJ 08034

Email: harsh@jconnectinc.com

Website: jconnectinc.com

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About Jconnect Infotech

Sourced by ZipRecruiter

Jconnect Infotech is an esteemed corporation that operates within the Information Technology sector based in Noida, Uttar Pradesh, India. As a technology-driven firm, it offers various services such as IT Solutions, Software Development, Staffing Solutions and Management Consulting to businesses globally. Established as a pivotal player in its field, Jconnect Infotech was founded on the principles of delivering optimal solutions and promoting technological advancement within various industries. Their mission is to deliver innovative, cost-effective solutions and services to clients while maintaining their core values of integrity, excellence, and customer satisfaction.

Industry

Specialized design services

Company size

201 - 500 Employees

Headquarters location

Noida, Uttar Pradesh, in

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Software Engineer?

A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.

Q: What is the career path for a Data Software Engineer?

A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.