Engineering Leader

1 week ago

Nashik, Maharashtra, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
**Job Description**

About this role, we are seeking a skilled and hands-on Data Engineer to join our innovative team.

This is an ideal opportunity for someone who thrives on execution and values outcomes over process.

As a Data Engineer, you will be responsible for building, deploying, and managing data pipelines using Python and PySpark.

You will develop and optimize ETL/ELT processes to support data integration across systems and work directly with cloud-based services to implement scalable data solutions.

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 cloud-based services to implement scalable 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 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

**Required Skills & Qualifications**

• 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 scripting tools

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

**Benefits**

At TELUS Digital AI Data Solutions, you will have the opportunity to work in a high-impact role where execution speed is valued and recognized.

You will have the freedom to build, ship, and iterate without red tape, working with a lean and high-performing data team.

Opportunities to innovate with automation tools are also available, along with a fast learning environment and ownership from day one.

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