Data Engineer Manager – AWS, Databricks

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 19%

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

• Lead, mentor, and actively contribute to the work of a team of data engineers • Set coding, architecture, and data engineering best practices • Define and drive the technical strategy for Journey Analytics data platforms • Design and implement scalable data engineering solutions • Maintain, optimize, and automate GitHub code repositories • Refactor legacy codebases to improve maintainability, scalability, and reusability • Design and build modular, reusable data components for multiple journeys • Develop and manage automated Databricks data pipelines • Design and implement scalable data models for analytics and reporting • Ensure data quality, governance, performance, and reliability across pipelines and datasets • Collaborate with analytics, product, and engineering stakeholders • Identify risks, bottlenecks, and improvement opportunities and drive mitigation strategies • Improve data processes, documentation, and engineering practices

🎯 Requirements

• 7+ years of experience in Data Engineering • Strong experience working with GitHub repositories and version control workflows • Hands-on experience developing and maintaining data pipelines in Databricks • Proven experience refactoring and maintaining legacy codebases • Strong understanding of data modeling and reusable component design • Experience building scalable data models for analytics and reporting use cases • Strong focus on data quality, performance, and reliability • Ability to work in cross-functional environments and contribute to continuous improvement • Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision • Experience using Genie (Databricks) (Plus)

🏖️ Benefits

• Remote work option • Confidential handling of employee information according to EEO guidelines