Senior Data Engineer

Job not on LinkedIn

🕒 March 10

🇮🇳 India – Remote

💵 $10k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 41%

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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Roxonn

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤝 B2B

☁️ SaaS

B2B • SaaS

Roxonn is a technology company that delivers innovative software solutions and development services to help businesses transform and scale. The company offers products, custom development, and training courses, and presents resources like whitepapers and insights; its website references app launches and decentralized exchange (DEX) trading, suggesting involvement in modern web and app technologies. Roxonn appears focused on B2B software delivery and SaaS-style offerings for enterprises and developers.

📋 Description

• Design, develop, and maintain scalable data pipelines using PySpark and Databricks • Build and manage data ingestion and orchestration workflows using Azure Data Factory (ADF) • Perform complex data transformations and optimization using SQL and PySpark • Implement and manage Delta Lake for reliable, high-performance data storage • Develop and maintain data models (fact and dimension tables) for analytics and reporting • Handle large-scale data processing, ensuring performance, scalability, and reliability • Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders • Ensure data quality, consistency, and governance across pipelines

🎯 Requirements

• 4-5 years of experience • Strong experience in PySpark and Databricks • Hands-on experience with Azure Data Factory (ADF) • Proficiency in SQL and data transformation techniques • Experience with Delta Lake and Lakehouse architecture • Good understanding of data modeling (fact/dimension design) • Experience handling large-scale data processing