Job Description :
Big Data Engineer,
Pittsburgh, PA
6+ Months Contract
Phone + Skype
Description:
Create and maintain conceptual, logical and physical data models of data assets & resources
Establish and enforce data standards, patterns and optimizations to enable teams to deliver high performance analytics and applications. Collaborate with data science and analytic teams on future data needs, setting roadmap for architectural runway and managing expectations of the business and product teams.
Ensure data flows and related information is being tracked, managed and documented. Document data models and build the data ecosystem at large using tools of various means. Ensure standards are met for data engineering and delivery efforts.
Lead the construction of a system that delivers data to the enterprise for both analytical and operational functions.
Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions.
Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions.
Be the expert in service reliability and sustainability.
Develop, gather, and leverage metrics to manage complex computing systems to drive automation, improvement, and performance.
Take responsibility for detailed design, analysis, testing, and optimization.
Qualifications:
EDUCATION
A Bachelor’s Degree in Computer Science, Information Technology or Information Science related discipline or experience equivalent is required.
Must have at least 5-10 years of experience in Data Management & Analytics.
Healthcare/Pharmaceutical related industry experience is a plus.
EXPERIENCE:
5-7 years in Big-Data Processing Engines – Spark Streaming preferred
5-7 years in Big-Data Extraction Tools – Nifi, Sqoop, etc
5-7 years in Enterprise Application Development – Java, C#, .NET Core
3-5 years in Big-Data Orchestration Tools – Oozie, etc.
3-5 years supporting Data Analytics & Visualization – Tableau, Power BI, etc.
JOB SKILLS:
Expert-level understanding of SQL queries, joins, stored procedures, relational schemas and noSQL data storage and access
Experience using the Lambda architecture for balancing timeliness, throughput, and fault tolerance when processing data
Experience in various messaging systems, such as Kafka or RabbitMQ
Experience in integration of data from multiple data sources such as Microsoft SQL Server, Oracle, and MongoDB
Experience engineering real-time data streaming solutions
Experience in Nifi, Spark Streaming, and Jethro or similar technologies
Knowledge of various ETL techniques and frameworks, such as Flume
Experience with virtualization technologies expected