Chief Data Pipeline Architect

6 hours ago


Amrāvati, Maharashtra, India beBeeDataEngineer Full time ₹ 24,30,000 - ₹ 25,95,000

About Telus Digital AI Data Solutions

We are a global leader in providing premium data services for the ever-evolving AI ecosystem.

From machine learning to computer vision and GenAI, we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train, and improve AI models.

We deliver solutions designed to cover the training data needs of every project. From custom data collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity.

Our expertise spans data engineering, ETL/ELT processes, cloud-based data solutions, and more – delivered with secure infrastructure and exceptional service.

The Role

We are looking for a hands-on, action-oriented Data Engineer who thrives on execution.

This role is perfect for someone who enjoys building robust data pipelines, delivering solutions that directly impact the business, and values outcomes over process.

Key Responsibilities

Build, deploy, and manage data pipelines using Python and PySpark

Develop and optimize ETL/ELT processes to support data integration across systems

Work directly with GCP and AWS services to implement scalable cloud-based data solutions

Own data workflows end-to-end — from ingestion to transformation to storage

Continuously monitor and improve pipeline reliability, speed, and data quality

Use GenAI and automation tools to speed up development and reduce manual effort

Proactively debug, troubleshoot, and resolve data engineering issues

Ensure data is available and trustworthy for analytics and downstream systems

Deliver high-quality code and documentation with a bias for action

Requirements

Strong proficiency in Python and PySpark

Working experience with cloud platforms like GCP and/or AWS

Solid understanding of ETL/ELT, data warehouse and data lake concepts.

Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB.

Driven by delivery and results — you get things done efficiently

Self-starter attitude with minimal need for hand-holding

Excitement for automating work using GenAI or scripting tools

Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing.



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