GCP Data Engineer

Etelligens Technologies

Ghaziabad District

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

A leading company in software development is seeking a Mid-Senior Data Engineer to design and support data pipelines across various platforms. The ideal candidate will have a strong background in data engineering, particularly in GCP technologies, and will be responsible for maintaining data integrity and improving data workflows. This full-time role offers a competitive salary and the opportunity to work in an innovative team environment.

Qualifications

  • 4+ years of data engineering experience.
  • 2 years of data solution architecture and design experience.
  • Proficient in GCP technologies like BigQuery and Dataflow.

Responsibilities

  • Design, develop, and support data pipelines across on-prem and cloud platforms.
  • Lead resolution of critical operations issues and perform technical data stewardship.
  • Automate data workflows and develop test strategies for data products.

Skills

Data pipeline design
Data extraction
SQL proficiency
Python
Data modeling
Automation

Education

Bachelor's degree in Software Engineering
Bachelor's degree in Computer Science
Bachelor's degree in Business
Bachelor's degree in Mathematics

Tools

Apache Airflow
Control-M
Terraform
Puppet
Ansible

Job description

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Responsibilities

  • As a Data Engineer, you will design, develop, and support data pipelines and related data products and

platforms.

  • Your primary responsibilities include designing and building data extraction, loading, and

transformation pipelines across on-prem and cloud platforms.

  • You will perform application impact assessments, requirements reviews, and develop work estimates. Additionally, you will develop test strategies and site reliability engineering measures for data products and solutions, participate in agile development & solution reviews, mentor junior Data Engineering Specialists, lead the resolution of critical operations issues, and perform technical data stewardship tasks, including metadata management, security, and privacy by design.

Required Skills:

● Design, develop, and support data pipelines and related data products and platforms.

● Design and build data extraction, loading, and transformation pipelines and data products across on-

prem and cloud platforms.

● Perform application impact assessments, requirements reviews, and develop work estimates.

● Develop test strategies and site reliability engineering measures for data products and solutions.

● Participate in agile development "scrums" and solution reviews.

● Lead the resolution of critical operations issues, including post-implementation reviews.

● Perform technical data stewardship tasks, including metadata management, security, and privacy by

design.

● Design and build data extraction, loading, and transformation pipelines using Python and other GCP

Data Technologies

● Demonstrate SQL and database proficiency in various data engineering tasks.

● Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect.

● Develop Unix scripts to support various data operations.

● Model data to support business intelligence and analytics initiatives.

● Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation.

● Expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data

Catalog, Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion and

Dataproc (good to have).

Qualifications:

● Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related

field.

● 4+ years of data engineering experience.

● 2 years of data solution architecture and design experience.

Interested candidates can send their resumes to riyanshi@etelligens.in

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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