Databricks Engineer

Job not on LinkedIn

🕒 August 11

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Exavalu

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Design, build, and optimize robust ETL/ELT pipelines using Azure Databricks, Spark, and SQL • Clean, transform, and aggregate complex data for analytics using Python, PySpark, and SQL • Manage and optimize data storage and retrieval in Azure Data Lake Storage (ADLS) Gen2 • Implement Delta Lake for ACID compliance, data versioning, and high-performance data lake operations • Integrate Databricks with Azure Data Factory for orchestration, Azure Synapse Analytics for warehousing, and Azure Key Vault for security • Monitor, troubleshoot, and optimize Databricks clusters and Spark jobs to manage costs and performance • Implement role-based access control (RBAC), data encryption, and data lineage tracking

🎯 Requirements

• Strong data engineering skills on Azure, Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks • Strong experience with Python/PySpark and SQL

🏖️ Benefits

• Flexibility adapting to employee, customer, and business needs • Potential part-time work arrangements • Working outside normal 9–5 business hours • Remote work • Welcome back program supporting individuals returning after prolonged absence due to health or family reasons • Diversity and inclusion initiatives • Career growth opportunities