About EucloidAt Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industries—from 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 FitAcademic Background:- B.Tech/BS or Master’s degree in Computer Science, Computer Engineering, Statistics or related disciplines.Technical Expertise:- 3–5 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: GurugramMail to: saurabh.bhaumik@Subject line: Application: Senior Data EngineerPlease ensure that in your application you mention your -- Relevant years of experience - Current CTC - Expected CTC - Notice period length - Location
Job Title
Senior Data Engineer (3-5YRS)