Our client is currently seeking a Big Data Engineer in Beverly Hills, CA. Please send resumes to email@example.com.
Work with business owners and development teams to define, develop and support data-driven applications and product prototypes.
Gather data insights related to user behavior, product usage, audience segmentation, social media, quality of services, and media consumption to drive business decisions.
Working with predictive analysts and data scientists, build scalable prototypes of machine learning algorithms, build production quality codes, manage and maintain the code base.
Work with product management and internal stakeholders to help dictate the requirements and technical design of data services and related intelligence tools.
Develop BI applications including transactional systems, mobile application development of BI products/services including Android, iOS, and/or cross platform.
Contribute to every phase of the BI product development life cycle (design, development, testing, iteration, deployment, support and maintenance).
Other duties as assigned.
Master's degree in CS, MIS, Statistics, Machine Learning, Applied Mathematics, Data Mining or a related field.
1+ years of overall professional experience. Proven track record working on distributed, scalable, service-oriented platforms. Proven ability to deliver high quality, production ready code.
Hands-on experience with Hadoop eco-systems (Hive, Pig, Spark, etc.).
Hands-on experience in developing complex Talend ETL processes for integration between systems enterprise application and business analytics (Big Data / Hadoop) using Talend tools.
Hands-on experience in programming languages Python, Java, Scala, etc.
Experience in data extraction, data-driven statistical modeling, analysis and supervised learning using modeling languages such as R, Stata, MATLAB, etc.
Experience in using Cloud services such as Amazon Web Services, Microsoft, IBM and Google Cloud.
Experience with Machine Learning/Deep Learning APIs, frameworks, and AI tools.
Experience with BI reporting tools (Tableau, MicroStrategy, SAP BusinessObjects, SSRS, etc.).
Expert understanding of the agile software development life cycle.
Excellent knowledge and expertise with SQL and Relational/Multi-dimensional Databases.
Understanding of data warehousing concepts.
Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering.
Must maintain regular and acceptable attendance at such level as is determined at the company's sole discretion.
Must be available and willing to work extended hours (during crunch times!) per day including occasional weekends and holidays.