Packaged/SaaS Application Engineer

Overview

Configure and support packaged or SaaS applications, including Microsoft Azure Databricks, by adapting features, managing releases, and ensuring system stability. Design and maintain data solutions, pipelines, and workflows that support data processing, integration, migration, and deployment.

What you'll do

• Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability.
• Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
• Design, develop, and maintain comprehensive data solutions that support the generation, collection, and processing of data.
• Create efficient data pipelines and ensure data integrity and quality throughout its lifecycle.
• Implement processes to extract, transform, and load data.
• Facilitate seamless migration and deployment across various systems.
• Collaborate with different teams to align data strategies and optimize workflows.
• Act as an SME, collaborate with and manage the team to perform.
• Make team decisions and contribute to key decisions across multiple teams.
• Provide solutions to problems for the immediate team and across multiple teams.
• Lead the design and implementation of scalable data architectures to support business requirements.
• Mentor junior team members to enhance their technical skills and professional growth.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Continuously evaluate and improve data processes to enhance efficiency and reliability.

What you'll need

• Minimum 7.5 years of experience in Microsoft Azure Databricks.
• Proficiency in Microsoft Azure Databricks.
• Experience with building and managing data pipelines and workflows using cloud-based platforms.
• Strong knowledge of data integration techniques and ETL frameworks.
• Familiarity with data storage solutions and data warehousing concepts.
• Ability to troubleshoot and optimize data processing performance.
• Understanding of data governance and security best practices.
• 15 years full time education.

Details

• This position is based at the Pune office.