Eucloid Data Solutions
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Chennai · On-site · 4-7 Yrs · Oct 9
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 Data Engineer to join our Data Platform team supporting various business applications.
Responsibilities
- Eucloid is looking for a Data Engineer to join our Data Platform team supporting various business applications.
Qualifications
- Candidate will also involve in projects like integrating data from various resources, managing big data pipelines that are easily accessible with optimized performance of overall ecosystem.
- You must be self-directed and comfortable supporting the data needs of cross-functional teams, systems, and technical solutions.
- Hands-On experience in AWS technologies (AWS S3, AWS EMR, Athena etc.), Redshift, Python.
- Must have around 4+ years of experience in delivering data engineering projects.
- Have strong knowledge in ETL, Data warehousing, Business intelligence.
- Should be able to configure pipelines to ingest data from landing zone to the data platform.
- Should be able to configure pipelines to ingest and process data from supplier landing zone to the data platform.
- Monitor and respond to scheduled workloads that feed data from and to the data platform.
- Communicate and work on schema drift and/or other Supplier issues.
- Create and execute quality scripts to monitor and maintain the accuracy of our data.
- Hands-On experience with Databricks or snowflake is a huge plus.
Nice to have
- Hands-on expertise in one or more Amazon Web Services (AWS) technologies, such as Kinesis, S3, Redshift, Athena, Lambda.
- Experience with following aspect of data engineering :
- Building and optimizing big data data pipelines, architectures and data sets.
- Manipulating, processing and extracting value from large, disconnected datasets.
- Development of data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.
- Good experience with at least one ETL tool like Talend, Informatica etc.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Expertise in at least one of the NoSQL databases.
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Job application FAQ
Last updated 4 November 2026
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