Associate Principal Engineer, Big Data

Job not on LinkedIn

🕒 November 1, 2025

🇱🇰 Sri Lanka – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

👻 Ghost score 45%

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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Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Design and implement complex data pipelines and ETL processes • Optimize performance of Snowflake architecture • Collaborate with developers in embedded DBA/DBM role • Troubleshoot and resolve data engineering challenges

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • Minimum of 10 years of hands-on experience in data engineering • 5+ years commercial experience with MSSQL • 2+ years commercial experience with major cloud provider, preferably AWS • Experience in embedded DBA/DBM role working directly with developers • Proven experience in designing and implementing complex data pipelines, ETL processes, and data integrations • In-depth knowledge of Snowflake architecture, features, and best practices for performance optimization • Proficiency in SQL, Python, or other relevant programming languages for data manipulation and transformation • Excellent problem-solving skills and the ability to troubleshoot and resolve complex data engineering challenges • Data engineering certifications, are a plus.

🏖️ Benefits

• Remote work options