Senior Data Engineer (3-5YRS)

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.

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