Lead Data Engineer(GCP)

Teksystems; Hyderabad, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

TEKSYSTEMS is seeking an experienced data engineering lead with deep GCP expertise to architect and guide end-to-end data solutions in Hyderabad. You will design scalable data pipelines, manage workflows on Cloud Composer and CloudRun, and collaborate with DevOps to automate CI/CD using GitHub Actions.

Hands-on BigQuery optimization, data products, and data mesh principles will shape the data platform strategy.

Qualifications

• 8-10 years of experience in data engineering and cloud architecture with a focus on GCP.
• Hands-on experience with Cloud Composer, Eventarc, and CloudRun.
• Proven expertise in designing and optimizing BigQuery solutions.
• CI/CD pipelines and automation using GitHub Actions.

Responsibilities

• Lead end-to-end data engineering efforts on GCP, guiding architecture and solution design.
• Design and manage workflows using Cloud Composer, Eventarc, and CloudRun.
• Develop and optimize large-scale data pipelines, leveraging expert-level skills in BigQuery.
• Collaborate with DevOps teams to implement CI/CD pipelines using GitHub Actions.
• Champion best practices around data products and contribute to the implementation of a Data Mesh strategy.
• Work closely with cross-functional teams to align data infrastructure with business goals.
• Mentor junior team members and foster a collaborative and growth-oriented engineering culture.

Skills

GCP

Data engineering

Data architecture

Data Products

Data Mesh

CI/CD pipelines

Mentoring

Tools

Cloud Composer

Eventarc

CloudRun

BigQuery

GitHub Actions

Job description

• 8-10 years of experience in data engineering and cloud architecture, with a strong focus on GCP.
• Hands-on experience with Cloud Composer, Eventarc, and CloudRun.
• Proven expertise in designing and optimizing BigQuery solutions.
• Solid experience using GitHub Actions to automate deployments and manage CI/CD pipelines.
• Good understanding of modern data architecture concepts including Data Products and Data Mesh.
• Lead end-to-end data engineering efforts on GCP, guiding architecture and solution design.
• Design and manage workflows using Cloud Composer, Eventarc, and CloudRun.
• Develop and optimize large-scale data pipelines, leveraging expert-level skills in BigQuery.
• Collaborate with DevOps teams to implement CI/CD pipelines using GitHub Actions.
• Champion best practices around data products and contribute to the implementation of a Data Mesh strategy.
• Work closely with cross-functional teams to align data infrastructure with business goals.
• Mentor junior team members and foster a collaborative and growth-oriented engineering culture.