Design, Model and Implement data analysis and analytics solutions.
Be a hands on individual contributor for data projects in high-level design, analysis, experiments, data architecture and data modeling.
Support ETL pipeline modules by designing state of art transformations, data cleaning, matching , reports/dashboards and statistical analysis
Hands on with analysis techniques segmentation, regressions, clustering, data profiling to analyze trends and report key performance indicators.
Team player to build large scale, high availability, fault tolerant data analytics platform - Apache Spark ecosystem, Data Visualization and Advanced Analytics.
Work closely with cross functional teams in an Agile environment
What were looking for:
You are a strong analytical and problem solving skills
You are self-motivated learner
You are eager to learn new technologies
You are receptive to constructive feedback
You are Confident and articulate with excellent written and verbal communication skills
You are open to work in small development environment
Skills Education:
Bachelor s or master s degree in computer science, Mathematics, Statistics from a top engineering institution.
Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis.
4+ years of Data Engineering experience in building enterprise data/analytics solutions.
Data stewardship to continually improve the quality of data and information including accuracy, integrity , relevance to the business.
Strong practical experience in Databases, Advanced SQL Python/R.
Very good understanding of Data strategies, articulate data analysis data model design and evolve data products according to business requirements.
Benchmark data systems, Analyze workflow bottlenecks and propose robust data solutions to eliminate them.
Good to have experience in designing/implementing ETL data pipelines using open source platforms.
Good to have exposure to big data emerging technologies like Hive, Red Shift (DWH), Hbase, Apache Spark and integration with enterprise visualization frameworks.
