Job Description

Role Purpose

The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists.

͏

We are seeking an experienced Azure Databricks Engineer to design and build scalable data pipelines. The role requires strong hands‑on experience in Py Spark, SQL, and Databricks, working with large datasets in a fast‑paced environment.

Responsibilities:

• Develop and optimize ETL pipelines using Azure Databricks

• Build data workflows using Py Spark and SQL

• Work with Delta Lake and Azure Data Factory

• Handle large‑scale datasets and multiple data formats

• Deliver solutions within tight timelines

Required Skills:

• Strong hands‑on experience in Py Spark, SQL, Azure Databricks

• Experience with Delta Lake and Azure Data Factory

• Solid understanding of ETL processes

• Experience working in fast‑paced delivery environments

͏

We are seeking an experienced Azure Databricks Engineer to design and build scalable data pipelines. The role requires strong hands‑on experience in Py Spark, SQL, and Databricks, working with large datasets in a fast‑paced environment.

Responsibilities:

• Develop and optimize ETL pipelines using Azure Databricks

• Build data workflows using Py Spark and SQL

• Work with Delta Lake and Azure Data Factory

• Handle large‑scale datasets and multiple data formats

• Deliver solutions within tight timelines

Required Skills:

• Strong hands‑on experience in Py Spark, SQL, Azure Databricks

• Experience with Delta Lake and Azure Data Factory

• Solid understanding of ETL processes

• Experience working in fast‑paced delivery environments

͏

We are seeking an experienced Azure Databricks Engineer to design and build scalable data pipelines. The role requires strong hands‑on experience in Py Spark, SQL, and Databricks, working with large datasets in a fast‑paced environment.

Responsibilities:

• Develop and optimize ETL pipelines using Azure Databricks

• Build data workflows using Py Spark and SQL

• Work with Delta Lake and Azure Data Factory

• Handle large‑scale datasets and multiple data formats

• Deliver solutions within tight timelines

Required Skills:

• Strong hands‑on experience in Py Spark, SQL, Azure Databricks

• Experience with Delta Lake and Azure Data Factory

• Solid understanding of ETL processes

• Experience working in fast‑paced delivery environments

͏

Deliver

		No
		Performance Parameter
		Measure

		1
		Process
		No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT

		2
		Team Management
		Productivity, efficiency, absenteeism

		3
		Capability development
		Triages completed, Technical Test performance