Eucloid Data Solutions
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Chennai · Hybrid · 5-8 Yrs · Aug 25
Information Technology Support Services · 1 to 50 Employees · Gurgaon, India
About Eucloid Eucloid Data Solutions is a fast-growing AI-consulting firm that enables business growth for its clients through advanced Data Analytics, Machine Learning and Data engineering. Eucloid offers bespoke, full-stack and data-driven approach to solving highly complex and large-scale business problems for some of the biggest Fortune-500 organizations. Eucloid has presence across multiple continents & countries, most notably in US, India, Sweden & Indonesia. Eucloid has deep partnerships with leading Data & Cloud vendors in the industry. These range from Marketing Cloud solutions (Adobe, Twilio, Google), Customer Data Platforms (Segment, TreasureData, Adobe), Cloud Vendors (Amazon, Microsoft, Google), Machine Learning (H2O.ai, Tensorflow) and Data Products (Snowflake, Databricks, Confluent). Eucloid is also an early adopter and a strong believer in Opensource platforms like DBT, Airflow & Superset. We take immense pride in our team. We are comprised of high-performing, ambitious, diverse and highly accomplished individuals with educational backgrounds from Top-tier institutes such as IITs/NITs/BITS/DTU/IIMs, World-class Consulting, Analytics, Product & Tech orgs such as Accenture/Sapient/EXL/Noon/Citibank/Samsung. About Co-founders Raghvendra Kushwah – Raghvendra is a veteran in Business consulting with 17+ years of experience in firms like Accenture Strategy and Cognizant Business Consulting. In his last role at Accenture, he led an independent business for Accenture in India and managed a large team for analytics consultants. He is B.Tech. (IIT Delhi), MBA (IIM Lucknow) and LLB (Faculty of Law, Delhi University). Anuj Gupta – Anuj has led large, diverse Products & Engineering teams with leading tech companies like Adobe and Amazon for 18+ years. In his last role at Amazon, he led a team of 50+ Engineers & 10+ Product Managers for Amazon APAC geos. He is B.Tech. (IIT Delhi) and MBA (ISB Hyderabad)
Hiring: Engineering
What employees say
+ High-quality work Good business Growth Decent work life balance
− Offsite is never done. It should be done for sure
More reviews on the company profile.
Interview experience · Ui\Ux Designer
There were 3 rounds of interview, apart from the initial screening call. First round was with one of the designer, second was with the project consultant, third was with the HR.
Average difficulty · India · 25 reports
More interview insightsJob description
Overview
Eucloid is looking for a Lead Data Engineer to join our Data Platform team supporting various business applications.
Responsibilities
- Location: Chennai (Hybrid- weekly 4 days work from office, 1 day work from home).
- ▪ Design, implementation, and improvement of processes & automation of Data infrastructure
- ▪ Tuning of Data pipelines for reliability & performance
- ▪ Building tools and scripts to develop, monitor, and troubleshoot ETLs
- ▪ Perform scalability, latency, and availability tests on a regular basis.
- ▪ Perform code reviews and QA data imported by various processes.
- ▪ Investigate, analyze, correct and document reported data defects.
- ▪ Create and maintain technical specification documentation.
- Eucloid offers a high growth path along with great compensation, which is among the best in the industry.
- Interested candidates can reach out on careers@eucloid.com.
Qualifications
- ▪ B.Tech/BS degree in Computer Science, Computer Engineering, Statistics, or other Engineering disciplines
- ▪ 5+ years of experience in data engineering, building scalable and reliable data pipelines in production environments.
- ▪ Strong experience with any cloud data platforms such as Azure/ AWS/ GCP.
- ▪ Hands-on expertise with distributed data processing frameworks such as Apache Spark for large-scale batch and/or streaming data processing.
- ▪ Expert-level SQL skills with the ability to write optimized queries, perform complex transformations, and tune queries for large-scale analytical workloads.
- ▪ Proficiency in Python for data engineering tasks including pipeline development, automation, data transformations, and integration with APIs or cloud services.
- ▪ Strong knowledge of data modeling techniques, including dimensional modeling, star/snowflake schemas, and designing data models optimized for analytics and reporting.
- ▪ Strong experience or knowledge of Databricks will be a plus.
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