Data Engineer

🕒 March 20

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 54%

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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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, build, and optimize scalable data pipelines in Apache NiFi to automate ingestion, cleansing, and enrichment. • Architect and manage datasets on HDFS for high-volume storage. • Develop distributed processing workflows in PySpark and Hive. • Maintain and tune Postgres databases for high availability and performance. • Partner with Data Scientists to deliver clean datasets for model training. • Implement monitoring and alerting frameworks for pipeline health.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s preferred). • Proven experience as a Data Engineer with expertise in HDFS, Apache NiFi, Hive, PySpark, Postgres, Python, and SQL. • Strong background in ETL/ELT design, distributed processing, and relational database management. • Experience with on-premises big data ecosystems supporting distributed computing. • Solid debugging, optimization, and performance tuning skills. • Ability to work in agile environments, collaborating with multi-disciplinary teams. • Strong communication skills for cross-functional technical discussions.

🏖️ Benefits

• Employees can work remotely