Weekday, Inc. Jobs

Data Engineer

Weekday, Inc.

Data Engineer

Posted 11 Days Ago

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In-Office

Chennai, Tamil Nadu, IND

Senior level

In-Office

Chennai, Tamil Nadu, IND

Senior level

Design and build cloud-native data solutions and scalable batch/streaming pipelines on GCP. Develop dbt transformations, BigQuery schemas, and orchestrate workflows with Airflow. Implement IaC with Terraform and CI/CD pipelines. Optimize for scalability, reliability, and cloud cost; support metadata, lineage, data quality, and ML/analytics use cases.

The summary above was generated by AI

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

Requirements

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 skills

Data Engineering, GCP

Good-to-have skills

Pub/Sub, Medallion Architecture, DataFlow

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