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AWS Databricks Engineer

Exclusive opportunity

Onsite

AWS Databricks Engineer

Persistent

AWS Databricks Engineer

Skills

SQL QueriesData EngineeringDatabricksAIAWSAnsibleGitHubPySparkTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


About Position:

We are looking for an experienced AWS Databricks professional with 10+ years of experience in Data Engineering, Platform Engineering, and Cloud Architecture. The role involves designing and implementing scalable Lakehouse solutions on Databricks and AWS, building robust data platforms, driving AI-enabled data initiatives, and enabling enterprise-wide data governance, security, and automation. The ideal candidate should have strong expertise in AWS, Databricks, SQL, Performance Tuning, and PySpark, along with experience in Banking and Financial Services domains.

  • Role: AWS Databricks Engineer
  • Location: All Persistent Locations
  • Experience: 10+ years
  • Job Type: Full-Time Employment

What You'll Do:

  • Design and implement scalable Lakehouse architecture using Databricks, Delta Lake / Iceberg, and Cloud Storage.
  • Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
  • Implement Security, Data Lineage, Access Governance, and Auditing Standards in Unity Catalog
  • Drive implementation of AI for Data
  • Develop & implement reusable pipelines and frameworks for the entire lifecycle of data
  • Develop Automations for BAU Tasks
  • Enable various Platform features and integrations with other platforms
  • Assist service lines to design a solution architecture for specific use cases
  • Design reusable design patterns for the platform
  • Define and enforce data quality, observability, and FinOps monitoring.
  • Adoption Engineering, contribute towards setting up a migration factory for legacy platform to Databricks
  • Develop robust ETL/ELT pipelines using PySpark, Spark SQL, and Databricks Notebooks.

Expertise You'll Bring:

  • 10 + years of IT experience with min 2 to 4 yrs exp in designing, building, and optimizing large-scale data processing solutions on the Databricks Platform
  • Databricks, AWS Cloud Platform, Platform Engineering, Data Engineering, Architecture & Design, Terraform/Ansible, Mosaic AI & MLOps, CI/CD, GitHub, PySpark / Spark SQL
  • Must have DBX Certification
  • Functional background: Experience in Banking and Financial Services particularly within Corporate Functions domain
  • Methodology: Agile

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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