Job Summary:
Our client is seeking a Data Engineer who is highly enthusiastic and has experience in Python and Databricks. They will create, tune, maintain, and build reporting Big Data platforms that drive business.
Duties:
Perform systems integration design and development in cloud architecture design
Build sizing and cost models for Cloud Services
Review enhancement requests and recommend best solution to stakeholders as SME
Containerizing ingestion processes using docker and Kubernetes services
Understand business requirements to design, build, develop and test data integration pipelines
Plan, direct DevOps implementation and system hardware and software updates for better performance, stability
Work on the BI dashboards to support retail stores and the Azure AI platform that runs the personalized consumer experiences used by millions each day
Desired Skills/Experience:
Bachelor’s Degree in Computer Science or equivalent
5+ years or demonstrated mastery of development with programming languages - Python, SQL, Unix
2+ years experience with Apache Spark and Databricks cloud tool sets (AWS or Azure)
1+ years experience with GCP and Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks)
Self-motivated with excellent analytical, problem solving, verbal and communication skills
Proficiency in API security frameworks, token management and UAC including OAuth, JWT, etc.
Basic knowledge of using Devops, Github, JIRA tools and ability to work in agile environment
Benefits:
Medical, Dental, & Vision Insurance Plans
401K offered