Databricks DE

Ascendion; Pune District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Ascendion is seeking a Databricks Data Engineer to design, develop, and maintain scalable data pipelines on the Databricks Lakehouse platform. The role involves building ETL/ELT workflows and ensuring data ingestion, transformation, cleansing, and validation to support analytics and reporting.

The role requires experience with Databricks and Apache Spark, along with Python, PySpark, and SQL. Location is Pune, with opportunities to work on batch and streaming data processing for global clients.

Qualifications

• Databricks Data Engineering: design and develop scalable data pipelines using Databricks and 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.

Responsibilities

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

Skills

Databricks/Data engineering

Apache Spark

Python

PySpark

SQL

ETL/ELT workflows

Data ingestion

Data transformation

Data cleansing

Data validation

Batch processing

Streaming data

Tools

Databricks

Delta Lake

Lakehouse architecture

Apache Spark

Job description

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

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