Eucloid - Principal Data Engineer

Job Description :

Key Responsibilities :

- Architect scalable data lakehouse and warehouse platforms

- Define canonical data models and domain-driven data architecture

- Design medallion (Bronze/Silver/Gold) architectures

- Establish data standards, governance, and security frameworks

- Evaluate and select cloud-native data tools

Engineering & Implementation Leadership :

- Build high-performance ETL/ELT pipelines (batch + streaming)

- Architect real-time data pipelines using event-driven systems

- Optimize large-scale distributed data processing systems

- Implement CI/CD for data engineering workflows

- Ensure reliability, scalability, and observability

Cloud & Modern Data Stack Expertise :

- Hands-on experience with Amazon Web Services, Microsoft Azure, or Google Cloud

- Strong expertise in Databricks, Snowflake, Apache Kafka, Airflow

Analytics & AI Enablement :

- Design data platforms optimized for BI and AI workloads

- Enable feature stores and ML-ready datasets

- Support GenAI and advanced analytics use cases

- Ensure high data quality and lineage tracking

Governance, Security & Cost Optimization :

- Implement RBAC, encryption, and data masking

- Design cost-aware architectures

- Monitor usage and optimize cloud spend

- Define data SLAs and reliability frameworks

Leadership & Strategy :

- Lead and mentor data engineering teams

- Conduct architecture reviews

- Partner with product, AI, and business teams

- Define long-term data strategy and roadmap

- Drive technical excellence and coding standards

Required Qualifications :

- 8+ years of experience in data engineering / data architecture

- Proven experience designing large-scale data platforms

- Deep expertise in distributed systems

- Strong SQL and Python/Scala skills

- Experience handling TBPB scale datasets

- Strong understanding of data modeling (dimensional + data vault)

- Experience with real-time and streaming architecture

- Experience leading technical teams

Preferred Qualifications :

- Experience in FinTech, SaaS, or enterprise consulting

- Experience building data engineering practice from scratch

- Exposure to AI/ML infrastructure

- Certifications in AWS/Azure/GCP

- Experience with multi-cloud environments

How to Apply :

The role offers very attractive compensation (Base + Bonus) and is based out of Gurugram/Chennai

Role : Data Engineer

Industry Type : Management Consulting

Department : Data Science & Analytics

Employment Type : Full Time, Permanent

Role Category : Data Science & Machine Learning

Education :

UG : B.Tech / B.E. in Any Specialization

Key Skills :

Skills highlighted with are preferred key skills

- Pyspark

- Data Modeling

- Python

SQL :

- Data Engineering

- Big Data