# Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-17

**Salary:** INR 700,000–1,500,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟳-𝟭𝟱 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a skilled **Data Engineer** to design, build, and support modern cloud-based data solutions. This role is ideal for someone who enjoys working with large and complex datasets, developing reliable data pipelines, and transforming raw data into high-quality, analytics-ready information.

You will work across cloud platforms and modern data engineering technologies, with a strong focus on **GCP, Databricks, BigQuery, Python, SQL, and Spark/PySpark**. You will collaborate closely with data engineers, architects, BI teams, and other technical stakeholders to build scalable data platforms that support reporting, analytics, and business decision-making.

The role offers an opportunity to work across batch and near-real-time data processing while contributing to data quality, platform reliability, and continuous improvements in engineering practices.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable data pipelines and ingestion workflows using **GCP, Databricks, or other major cloud platforms**.
-   Build data processing and transformation solutions using **Python, SQL, Spark, and PySpark**.
-   Develop and manage data workloads using **Databricks Notebooks and Workflows**.
-   Work extensively with **BigQuery and Google Cloud Storage** for data storage and processing.
-   Support scheduled, batch, and near-real-time data ingestion and processing requirements.
-   Develop reliable ETL/ELT workflows while following data engineering and data warehousing best practices.
-   Implement monitoring, validation, and quality checks to ensure pipeline reliability and data accuracy.
-   Prepare and maintain high-quality datasets for BI, reporting, and analytics teams.
-   Collaborate with engineers and architects to improve data platforms, architecture, and engineering practices.
-   Troubleshoot data pipeline issues and optimize workloads for performance and scalability.
-   Follow established development, version-control, CI/CD, and Agile practices.

### What Makes You a Great Fit

-   **2+ years of hands-on experience in Data Engineering** or a closely related role.
-   Strong practical knowledge of at least one major cloud platform such as **GCP, Azure, or AWS**.
-   Hands-on experience with **Databricks, BigQuery, and cloud storage technologies**.
-   Strong proficiency in **Python and SQL**.
-   Solid understanding of **ETL/ELT processes, data pipelines, and data warehousing concepts**.
-   Experience working with both structured and unstructured data.
-   Familiarity with **Apache Airflow or Cloud Composer**.
-   Exposure to **Azure Data Factory (ADF)** is an advantage.
-   Knowledge of **Git, CI/CD, and Agile development methodologies**.
-   Exposure to **Kafka, Google Pub/Sub, or other streaming technologies** is a plus.
-   Strong analytical and problem-solving abilities with a proactive approach to troubleshooting.
-   Good communication skills and the ability to collaborate effectively with technical and cross-functional teams.
-   A strong sense of ownership and enthusiasm for learning and working with modern cloud and data technologies.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/85AAB6715E/apply)

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