Job duties:

Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology Ability to effectively communicate ideas to peers and distributed teams Delivering products with top notch quality in a fast-paced environment Excel best practices for high availability, scalability and reliability of data processing components Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with stakeholders including internal and external to assist with data-related technical issues and support their data infrastructure needs. Drive data architecture across many large datasets, perform exploratory data analysis, implement new data pipelines that feed into or from critical data systems at AWS. Experience on design principles, setup of databases, data models , implement scalable ETL processes and scalable data stores in the AWS platform. Engineering solutions to aggregate and automate large scale data flows from varying sources. Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Experience in the areas of Data Management, BI Architecture, Product Development, RDBMS and non-RDBMS platforms. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Experience in working with (large-scale) structured, unstructured data and Common data structures. Experience in Structured Query Language (like SQL, NO-SQL, MYSQL) and other BI related languages (like Python or R). Implement complex automated routines using workflow orchestration tools Develop SQL , PL/SQL code to process Data analysis, Data discovery and Data cleansing. Ability to leverage machine learning and natural language processing techniques to mine through unstructured data to uncover insights, topic detection, keyword extraction, and sentiment analysis. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Build out predictive scoring and segmentation models including linear/logistic regressions, decision trees, neural network, clustering, etc. using R and Python. Creating dashboards/reports/insights in multiple visualization tools like Tableau and Power BI that harnesses customer and competitive analysis data to spot emerging trends.

Required qualifications:

Bachelors degree in computer engineering/computer science or related field. Strong analytical skills. Good communication skills. Excellent organizational and leadership skills Proven experience in high-level programming languages, like Java. Proven experience in software development methodologies. Proven experience building complex web systems.