Databricks DE

About Ascendion

Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world's leading brands

• Solve complex problems – and learn new skills

• Experience the power of transforming digital engineering for Fortune 500 clients

• Master your craft with leading training programs and hands-on experience

Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

The Databricks Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and data engineering solutions using the Databricks Lakehouse platform.

Job Title: The Databricks Data Engineer

Key Responsibilities:

• The role involves processing large datasets, building ETL/ELT workflows, optimizing data performance, and supporting analytics and reporting requirements.

Minimum Qualifications:

-Databricks Data Engineering Design and develop scalable data pipelines using Databricks and Apache Spark.

-Build ETL/ELT workflows using Python, PySpark, and SQL.

-Implement data ingestion, transformation, cleansing, and validation processes.

-Develop and maintain Delta Lake tables and Lakehouse architectures.

-Work with batch and streaming data processing.

Location: Pune

Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!