Senior Data Engineer

🔥 18 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric • Build reliable ETL/ELT processes for structured and unstructured data • Work with business teams to understand data requirements and translate them into technical solutions • Optimize data processing workflows for performance, scalability, and cost • Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality • Troubleshoot production issues and proactively identify improvements • Collaborate with architects, analysts, and developers throughout the project lifecycle • Take responsibility for quality, timelines, and outcomes without constant follow-up • Use AI and automation to solve problems, improve engineering productivity, and deliver better solutions • Raise risks early, ask questions when something isn't clear, and keep stakeholders informed • Adjust priorities while maintaining delivery commitments

🎯 Requirements

• 5+ years of hands-on experience as a Data Engineer • Strong experience with Microsoft Azure Fabric, Databricks and Azure data services • Solid knowledge of SQL and data modeling concepts • Experience building enterprise-grade data pipelines and data integration solutions • Proficiency in Python, Spark, or similar technologies is preferred • Experience working with cloud-based data platforms in production environments • Available to engage with global teams and overlap with the U.S. East Coast during critical discussions, up to 1:00 PM ET as needed