# Data Engineer

> Weekday AI · Chennai, India · Full-time · Posted 2026-08-07

**Salary:** INR 600,000–1,200,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟮𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲-𝟭𝟮 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

We are seeking a highly skilled **Data Engineer** to design, develop, and optimize cloud-native data platforms that enable scalable analytics, business intelligence, and data-driven decision-making. This role is ideal for professionals with strong expertise in modern data engineering, Google Cloud Platform (GCP), and data transformation frameworks who are passionate about building reliable, high-performance data solutions.

As a Data Engineer, you will work closely with data architects, analytics teams, software engineers, and business stakeholders to develop robust data pipelines, manage cloud-based data infrastructure, and ensure high standards of data quality, governance, and performance. You will play a key role in building scalable batch and streaming data solutions while supporting advanced analytics, AI, and customer-facing data applications.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain cloud-native data pipelines for ingesting, transforming, and delivering structured and unstructured data.
-   Build scalable data solutions using **Google Cloud Platform (GCP)** services, including BigQuery and related cloud technologies.
-   Develop and maintain data transformation frameworks using **dbt** to support analytics and reporting requirements.
-   Create efficient ETL/ELT workflows using SQL, Python, and cloud-native data engineering best practices.
-   Orchestrate and automate data workflows using **Apache Airflow** or **Cloud Composer**.
-   Design and optimize relational database solutions, including PostgreSQL and other enterprise database platforms.
-   Implement Infrastructure as Code (IaC) using **Terraform** to provision and manage cloud infrastructure.
-   Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar DevOps tools.
-   Optimize data processing pipelines for scalability, reliability, performance, and cloud cost efficiency.
-   Collaborate with cross-functional teams to support analytics, machine learning, AI, and customer-facing data initiatives.
-   Implement data quality, governance, metadata, and lineage practices to improve trust and consistency across enterprise data assets.
-   Monitor production environments, troubleshoot pipeline failures, and continuously improve platform performance and operational stability.

### What Makes You a Great Fit

-   5+ years of professional experience in **Data Engineering** and cloud-native data platform development.
-   Strong hands-on expertise with **Google Cloud Platform (GCP)**, including **BigQuery** and modern cloud data services.
-   Proven experience building scalable data transformation frameworks using **dbt**.
-   Advanced proficiency in **SQL** and **Python** for data engineering, automation, and pipeline development.
-   Experience working with relational databases such as **PostgreSQL** and enterprise data management solutions.
-   Hands-on experience orchestrating workflows using **Apache Airflow** or **Cloud Composer**.
-   Strong understanding of Infrastructure as Code using **Terraform** and modern DevOps practices.
-   Experience developing CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar automation tools.
-   Knowledge of streaming and batch processing architectures, cloud infrastructure, and distributed data systems.
-   Familiarity with services such as Pub/Sub, Dataflow, Datastream, Cloud Storage, Cloud Functions, Cloud Run, Kubernetes, Docker, or similar cloud technologies is an advantage.
-   Strong analytical, troubleshooting, and communication skills with the ability to build scalable, secure, and cost-efficient enterprise data solutions.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/4075BDB639/apply)

---
Powered by [Workable](https://www.workable.com)