About Eucloid
At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industriesfrom Hi-tech and D2C to Healthcare and SaaS. With partnerships with giants like Databricks, Google Cloud, and Adobe, we're pushing boundaries and building next-gen technology.
Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients.
What You'll Do
- Design, implement, and improve processes for building scalable and automated data infrastructure.
- Tune and optimise complex data pipelines for performance, scalability, and reliability.
- Build tools and scripts to develop, monitor, and troubleshoot ETL workflows.
- Perform scalability, latency, and availability tests on large-scale systems.
- Conduct code reviews and ensure quality of data engineering deliverables.
- Investigate, analyse, and resolve data defects, while documenting findings and solutions.
- Collaborate with cross-functional teams, including software developers, database architects, and analysts, to support business and technical initiatives.
- Create and maintain technical documentation for data pipelines and processes.
- Ensure all data solutions follow cloud-first principles, leveraging modern platforms for scale and efficiency.
What Makes You a Fit
Academic Background:
- B.Tech/BS or Master's degree in Computer Science, Computer Engineering, Statistics or related disciplines.
Technical Expertise:
- 35 years of professional experience in data engineering.
- Strong proficiency in SQL (conceptual and logical).
- Advanced skills in Python and Apache Spark (3+ years).
- Hands-on experience with at least one cloud platform AWS, GCP, or Azure (2+ years preferred).
- Knowledge of distributed computing and cloud databases (e.g., Redshift, BigQuery).
- Familiarity with Modern Data Stack tools such as Airflow, Terraform, dbt, Glue, or Dataproc.
Extra Skills:
- Exposure to Hadoop and Shell scripting is a plus.
- Strong debugging, problem-solving, and troubleshooting abilities.
- Experience mentoring junior engineers or leading small teams is an advantage.
Why You'll Love It Here
- Innovate with the Best Tech: Work on groundbreaking projects using AI, GenAI, LLMs, and massive-scale data platforms. Tackle challenges that push the boundaries of innovation.
- Impact Industry Giants: Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS, and Retail. Partner with platforms like Databricks, Google Cloud, and Adobe to create high-impact products.
- Collaborate with a World-Class Team: Join exceptional professionals from IITs, IIMs, NITs, and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, grow, and lead in a team that values expertise and collaboration.
- Accelerate Your Growth: Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority.
- Work in a Culture of Excellence: Be part of a dynamic workplace that fosters creativity, teamwork, and a passion for building transformative solutions. Your contributions will be recognised and celebrated.
About Our Leadership
- Anuj Gupta Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad).
- Raghvendra Kushwah Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow).
Key Benefits
- Competitive salary and performance-based bonus.
- Comprehensive benefits package, including health insurance and flexible work hours.
- Opportunities for professional development and career growth.
Location: Gurugram
Mail to: [Confidential Information]
Subject line: Application: Senior Data Engineer
Please ensure that in your application you mention your -
- Relevant years of experience
- Current CTC
- Expected CTC
- Notice period length
- Location
