Eucloid - Lead Data Engineer - ETL/SQL/Python (5-10 yrs)

About Eucloid

Eucloid Data Solutions is a fast-growing Data consulting firm that enables business growth for its clients through advanced Data Analytics, Machine Learning and Data engineering solutions. Eucloid offers a 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 C countries, most notably in US, India, Sweden C Indonesia.

Eucloid has deep partnerships with leading Data C 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 Open- source platforms like DBT, Airflow C 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 C Tech orgs such as Walmart/American Express Accenture/Sapient/EXL/Noon/Citibank/Samsung.

About Co-founders :

Raghvendra Kushwah - Raghvendra is a veteran in Business consulting with 19+ 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 C Engineering teams with leading tech companies like Adobe and Amazon for 20+ years. In his last role at Amazon, he led a team of 50+ Engineers C 10+ Product Managers for Amazon APAC geos. He is B.Tech. (IIT Delhi) and MBA (ISB Hyderabad).

Job description :

We are looking for a high-energy individual for the Data Engineer role at Eucloid. The candidate will advise clients on multiple business problems and help them achieve desirable business outcomes through projects.

The candidate is expected to be a highly motivated individual with an ability to provide strategic C operational leadership for a high- performing, diverse team of Data Analysts, Data Scientists C Data Engineers :

- Responsible for the design, deployment, configuration, and operations for a multi-node big data cluster. This includes working with open source and/or commercial stacks to support the full SDLC.

- Resource will work to deploy, manage, and maintain development, test and production environments for the big data platform.

- Develop scripts to automate and streamline operations and configurations in the infrastructure

- Specify, design, build, and support BI solutions by working closely with datalake team

- Create dashboards and KPIs to show the business performance to management.

- Design and maintain data models used for reporting and analytics

- Work to identify infrastructure needs and providing support to developers and business user

- Research performance issues; Optimize platform for performance

- Troubleshoot and resolve issues in all operational environments

- Work with a cross functional team delivering software deployments

- Forward thinking by continuously adopting new ideas and technologies to solve business problems

- Own the design and development of automated solutions for recurring reporting and in- depth analysis.

Ideal candidate will have following Background and Skills :

Background :

- Undergraduate degree in a quantitative discipline such as Engineering, Computer Science, or related fields from a top-tier institution.

- Minimum 5+ years of experience in Data Engineering or related data functions.

- Strong expertise in SQL, Python, and Spark, with hands-on experience in designing and building scalable data pipelines.

- Prior experience working with big data solutions and distributed computing frameworks (e.g., Hadoop, Spark).

- Experience with Cloud Platforms (AWS, GCP, or Azure) and data warehousing solutions (e.g., Snowflake, Redshift, or BigQuery).

- Strong understanding of data modeling, ETL/ELT processes, and data governance best practices.

Skills :

- Ability to handle ambiguity and fast-paced environment.

- Ability to formulate project strategy C roadmap through Metrics and Data-driven approach.

- Ability to structure a business problem in analytical or quantitative problem.

- Strong written and verbal communication skills.