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Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Requirements
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Hands-on Spark engineer experience using: Python, Spark, Iceberg, Hive – is a must skill
Databases: Oracle, MS SQL, Teradata – One of the databases is a must
Orchestration: Autosys, Airflow (preferred) – One of them is a must
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 across compute engines
Ensure system reliability, scalability, and high throughput in enterprise data environments
Experience in GenAI, Agentic AI, and LLM adoption, such as: - some experience is required (on Copilot / Github Copilot tools)
Familiarity with data governance and security frameworks, including privacy, compliance, lineage, and access control
Dremio or virtualization/federation/semantic layer tools - optional
Any major cloud – Azure or GCP
ETL tools: Ab Initio (preferred), Informatica, DataStage
Nice to have
Dremio or virtualization/federation/semantic layer tools