# Lead Data Engineer

> Weekday AI · Pune, India · Full-time · Posted 2026-06-10

**Salary:** INR 1,200,000–2,500,000

**Workplace:** on_site

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

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 1200000 - Rs 2500000 (ie INR 12-25 LPA)**

Experience: 7+ yrs

Location: Pune, Bangalore, Chennai, Coimbatore

Job Type: full-time

We are looking for a skilled Data Engineer who is passionate about building scalable data platforms and enabling data-driven decision-making. This role involves designing, developing, and maintaining robust data pipelines, processing large-scale datasets, and ensuring the availability, reliability, and performance of data systems.

The ideal candidate will have strong expertise in cloud-based data engineering, backend development, and modern data processing technologies. You will work closely with cross-functional teams to create efficient data solutions that support analytics, reporting, machine learning, and business intelligence initiatives.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable data pipelines for processing structured and unstructured data.
-   Build and optimize cloud-based data solutions using modern data engineering best practices.
-   Develop and manage data ingestion, transformation, validation, and orchestration workflows.
-   Create reliable ETL/ELT pipelines to support analytics, reporting, and operational use cases.
-   Work with large datasets to ensure data quality, consistency, and accessibility across systems.
-   Develop and optimize backend services and data processing applications using Java.
-   Implement data governance, monitoring, and performance optimization practices.
-   Collaborate with product, analytics, and engineering teams to understand data requirements and deliver scalable solutions.
-   Troubleshoot data pipeline issues and proactively identify opportunities for improvement.
-   Ensure high availability, security, and scalability of data infrastructure.
-   Participate in architecture discussions and contribute to data platform modernization initiatives.
-   Support business intelligence, advanced analytics, and machine learning teams with reliable data assets.

### What Makes You a Great Fit

-   Strong experience in Data Engineering and building scalable data processing systems.
-   Proficiency in Java and cloud-native data engineering practices.
-   Hands-on experience with Google Cloud Platform (GCP) and its data ecosystem.
-   Strong understanding of data warehousing, data modeling, and distributed data processing concepts.
-   Experience building and maintaining high-performance ETL/ELT pipelines.
-   Familiarity with BigQuery, Dataflow, and other cloud-based data processing technologies is highly desirable.
-   Strong SQL skills and experience working with large-scale datasets.
-   Understanding of data architecture, data governance, and data quality frameworks.
-   Experience with workflow orchestration, monitoring, and automation tools.
-   Strong analytical thinking and problem-solving abilities.
-   Ability to collaborate effectively with cross-functional stakeholders and communicate technical concepts clearly.
-   Self-driven mindset with a focus on ownership, scalability, and continuous improvement.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/F31CF503C7/apply)

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