Description
Company Overview
Smartavya Analytica is a boutique data and analytics company specializing in Big Data, AI, and data
modernization projects. With expertise in managing complex datasets up to 20 PB, we deliver impactful data
transformation projects across diverse industries like finance, telecom, retail, manufacturing, insurance, and
capital markets. We are leaders in Big Data, Cloud, and Analytics solutions, with a unique focus on very large
data platforms.
Our team has experience in more than 25+ Data Modernization projects with sizes ranging from 10 TB to 10
PB in size. Expertise in wide range of tools and technologies in Data Analytics like Hadoop, DWH Platforms,
BI Reporting tools, ETL tools, AI and Machine Learning
Responsibility
a. Coding, Programming and Development: The key responsibility is to perform hands-on coding and
build new R models and/or make changes in relevant technologies and frameworks, ensuring project
deliverables meet stringent quality and performance standards to existing R Studio Models.
b. Client Engagement & Requirements Gathering: Independently engage with client stakeholders to
understand data landscapes and requirements, translating them into functional and technical
specifications.
c. Support and Maintenance: Manage and Support R Models in production environment.
d. API & Database Management: Integrate APIs and manage databases (e.g., Hive, Greenplum,
PostgreSQL, Oracle) to support seamless data flows.
Skills
a. Technical Proficiency:
• Extensive experience with R Studio tool and associated libraries such as ttr - plyr - dplyr - tidyr
- quantmod - knitr - plotrix and other relevant R Studio libraries
• Proficiency in programming languages like R, SQL, Reporting tools, Spark, Python, Scala and
Education Background
a strong grasp of SQL performance tuning.
• ETL tool expertise (e.g., Informatica, Talend, Apache Nifi) and data modelling knowledge.
• API integration skills for effective data flow management.
b. Project Management & Communication skills
c. Client Engamenet Skills
• Bachelor’s degree in computer science, Information Technology, or a related field.
• Relevant certifications (e.g., R Studio/SAS/SPSS/Python) are a plus