Senior Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

💵 ₹2M - ₹4M / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Weekday

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

👗 Fashion

🛒 Retail

🛍️ eCommerce

Fashion • Retail • eCommerce

Weekday is your everyday paradox wrapped in denim—unapologetic, unpredictable, and always evolving. Discover our full range of men’s and women’s fashion, from statement Weekday jeans and perfectly imperfect suiting to comfort-first underwear and bold pop culture-inspired graphic prints. Build your wardrobe with Astro jeans and chunky scuba pieces, ideal for creating relaxed yet modern outfits. Explore essential mini and maxi skirts, oversized shirts, short sleeve tops, and lightweight jackets—all available in muted tones and bold seasonal hues. Whether you're styling half-tucked tees or layered looks, Weekday offers statement pieces and versatile basics to fit your mood, your moment, and your everyday, embracing the many true expressions of youth.

📋 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 • Use AI and automation to solve problems and improve engineering productivity • Raise risks early, ask questions, and keep stakeholders informed • Adjust priorities while maintaining delivery commitments • Engage with global teams and overlap with the U.S. East Coast when needed

🎯 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 • Ability to overlap with the U.S. East Coast during critical discussions, up to 1:00 PM ET as needed

🏖️ Benefits

• Remote work from home anywhere in India