Lead moderately complex initiatives and deliverables within technical domain environments, contributing to large-scale planning of strategies
Job Summary
Lead moderately complex initiatives and deliverables within technical domain environments, contributing to large-scale planning of strategies.
Design, code, test, debug, and document for projects and programs, resolving moderately complex technical challenges and acting as an escalation point.
Operate in a fast-paced Agile environment with close collaboration across teams, contributing to modernizing the application landscape by moving away from legacy tech stacks.
Matching Summary
Lead moderately complex initiatives and deliverables within technical domain environments, contributing to large-scale planning of strategies.
Skills & Requirements
Must-have
Python, Spark, Iceberg, Hive
Large enterprise-scale data environments
Modern Data Warehousing, Data Lakes, Lakehouse
Monitor, tune, troubleshoot distributed systems
Cloud-native and open-table formats
CI/CD and DevOps best practices
Nice-to-have
GenAI, Agentic AI, LLM adoption
Data governance and security frameworks
Agile, fast-paced environment
Innovation and continuous learning
Key Requirements
4+ years of Software Engineering experience
Hands-on engineering experience
Strong SQL development and tuning skills
Proven experience supporting and optimizing large enterprise-scale data environments
Working with modern Data Warehousing, Data Lakes, and Lakehouse architectures
Monitor, tune, and troubleshoot large-scale distributed systems
Diagnose memory, performance, partitioning, and query-related inefficiencies
Ensure system reliability, scalability, and high throughput
Expertise in designing / implementing modern data platforms
Hands-on experience in GenAI, Agentic AI, and LLM adoption
Familiarity with data governance and security frameworks
Strong communication skills
Ability to work in an agile, fast-paced environment