Software Developer with DevOps and Data Engineering Expertise
Core
Design, develop, and implement scalable data platforms, optimize data pipelines, and ensure system reliability and security across hybrid cloud environments.
Role type
Senior Data Engineer / DevOps Specialist
Builds
Large-scale data platforms, optimized data pipelines, and analytics dashboards
Domain
Big Data Engineering, Cloud Infrastructure, Data Virtualization
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, PySpark, SQL, Linux, ETL (Informatica), Hive, Impala, Cloudera Data Platform, Denodo, SAP BO, Tableau, DevOps deployment practices, data modeling, system troubleshooting
Preferred skills
Hybrid cloud environment experience, Agile methodology familiarity
Technologies
Python, PySpark, Linux, Informatica, Hive, Impala, Cloudera Data Platform, Denodo, SAP BO, Tableau
Responsibilities
Lead or contribute to project implementation using waterfall and Agile methodologies; Implement systems using Hive, Impala, and Cloudera Data Platform; Utilize DevOps practices to automate processes; Implement data virtualization tools like Denodo; Develop and optimize big data engineering jobs; Troubleshoot complex system issues; Design and implement data warehouse solutions
Seniority
Senior, hands-on IC
