Technical & Behavioral Competencies
· Resourceful to quickly understand complexities involved and provide the way forward.
· Good experience in technical analysis of n-tier applications with multiple integrations using object oriented, APIs & Microservices approaches.
· Strong knowledge about design patterns and development principles.
· Inclination and prior experience of working across SQL, Python and ETL.
· Strong Hands-on experience - Python (NumPy, pandas, Python Frameworks, Restful APIs, MS-SQL or Oracle.
· PySpark - DataFrames, Spark SQL, Structured Streaming, performance tuning (partitioning, caching, broadcast joins).
· Advanced SQL – complex queries, stored procedures, query optimization.
· Good Knowledge and experience to use Python packages such as Pandas, NumPy, etc. for cleaning up of Data, Data Wrangling, Analysis of Data and Visualization of Data.
· Good experience in development and maintenance of code/scripts in both functional and technical specifications of all applications component, bug fixing and production support.
· Good knowledge on Linux/Unix environment (basic commands, shell scripting, etc.), testing phases, documentation and new framework.
· Some experience of working with build tools like Maven & DevOps tools like Bitbucket, Jenkins.
· Knowledge of Agile, Scrum, DevOps.
· Development experience in Data Engineering environment.
· Ability & willingness to learn & work on diverse technologies (languages, frameworks, and tools).
· Self-motivated, good interpersonal skills and inclination to constantly upgrade new technologies and frameworks.
· Good communication and co-ordination skills.