Brief description :
Key Responsibilities:
- Design and develop a platform with services for data ingestion, orchestration, and analytics, that accelerates and automates data engineering, data preparation, and analysis
- Develop analytic solutions for industry verticals and cross-enterprise product research using a variety of methodologies including ETL, data mining, and machine learning
- Design and prototype ETL pipelines that integrate data from disparate sources and in different formats
- Build flexible, insightful tools, dashboards, and reports that enable better decision making
- Contribute to and maintain a codebase that facilitates rapid iteration and prototyping across the analytics team
- Present analytics solutions and results to senior stakeholders and clients
- Work with the Engineering team to implement final analytics solutions
Required Qualifications:
- Proficiency in at least one programming language and familiarity with others (Python, Java, Scala)
- Experience working in a Big Data ecosystem (Apache Spark, Hive, GCP – Dataproc, Bigquery, AWS– EMR, Athena, etc.)
- Experience with Machine learning software such as Pandas/Scikit, R, Spark MLlib
- Experience working with BI tools like Tableau as well as advanced visualization tools like D3, Matplotlib, GGPlot
- Experience working with RESTful Services and Microservices
- Skilled in using data science solutions to tackle complex business problems
- Flexible, self-motivated individual with a desire to work in a dynamic, fast-paced start-up environment
Preferred skills
Preferred Qualifications:
- Good understanding of Distributed Systems and parallel computing paradigms
- Strong understanding of SQL and NoSQL databases and development paradigms
- Experience with cloud computing technologies
