Salary
💰 $110,500 - $171,925 per year
Tech Stack
ApacheAWSCloudDockerHadoopKafkaKubernetesLinuxOpenShiftPySparkPythonSDLCShell ScriptingSparkSQLUnix
About the role
- Leads in developing, supporting and implementing data solutions for multiple applications to meet business objectives and user requirements.
- Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
- Leads data requirement analysis and the data preparation process development for targeted data solutions.
- Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
- Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
- Consults on data migration and transformation to ensure the accuracy and security of data solutions.
Requirements
- 5+ years of industry-relevant experience
- Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.)
- Strong proficiency in Python, PySpark, Spark, SQL
- Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.)
- Experience with public cloud platforms – Apache Ice-burg and AWS
- S3
- Knowledge of Unix/Linux shell scripting
- Education: Bachelor's degree or equivalent; in lieu of degree, comparable combination of education, certification(s), and experience may be considered
- Preferred Skills: Analytical Thinking, Data Analytics, Data Mining, Data Science, Machine Learning
- Competencies: Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle