Eucloid Data Solutions
Website:
eucloid.com
Job details:
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 Security & Cost Optimization :
- Implement RBAC, encryption, and data masking
- Design cost-aware architectures
- Monitor usage and optimize cloud spend
- Define data SLAs and reliability & 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
(ref:hirist.tech)
Click on Apply to know more.