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Weekday AI

Data Engineer

Weekday AI Chennai, Tamil Nadu, India · ₹600K–₹1M/yr

Technology, Information and Internet · 11-50 employees

6 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design and build scalable cloud-native data solutions using Google Cloud Platform. Develop transformation frameworks and manage batch and streaming data pipelines.

What they look for

Data Engineering GCP BigQuery Dbt SQL Python PostgreSQL Apache Airflow Cloud Composer Terraform CI/CD GitHub Actions Pub/Sub Dataflow Medallion Architecture

Requirements

Requires a bachelor's degree in a technical field and at least 5 years of professional data engineering experience. Strong proficiency in SQL, Python, and GCP-based data tools is essential.

Full description

This role is for one of Weekday’s clients Salary range: Rs 600000 - Rs 1200000 (ie INR 6 - 12 LPA)

Min Experience: 5+ years Location: Chennai, Tamil Nadu, India JobType: full-time

What you'll need  Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.  5+ years of professional data engineering experience. Experience designing and building cloud-native data solutions. Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.  Strong SQL and Python programming skills.  Experience with PostgreSQL or other relational databases. Experience orchestrating workflows using Apache Airflow or Cloud Composer.  Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms. Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization. 

Preferred Qualifications  Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run. Experience building multi-tenant SaaS platforms. Experience implementing metadata-driven governance, lineage, and data quality frameworks. Experience supporting AI, machine learning, or customer-facing analytics platforms. Experience with Kubernetes and Docker.

Must-have skillsData Engineering, GCP

Good-to-have skillsPub/Sub, Medallion Architecture, DataFlow

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