• US Citizen

• Green Card

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 8th Nov 2023

Responsible for maintaining scalable, reliable, consistent and repeatable systems that support data operations for Reporting, Analytics, Applications, and Data Science by gathering and processing raw data at scale. Profiles data to measure quality, integrity, accuracy, and completeness and delivers solutions by developing, testing, and implementing code and scripts. Develop data set processes for data modeling, mining, and consumption

Actively and consistently supports all efforts to simplify and enhance the customer experience.
Create and maintain scalable, reliable, consistent and repeatable systems that support data operations for Reporting, Analytics, and Applications for Business Intelligence.
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).
Use ETL processes in order to maintain, improve, clean, and manipulate data.
Profile data to measure quality, integrity, accuracy, and completeness.
Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations.
Design, build, and automate Business Intelligence Data Pipelines.
Deliver solutions by developing, testing, and implementing code and scripts.
Produce reports and uphold data delivery schedules.
Manage life cycle of multiple data sources.
Work closely with stakeholders on the data demand side (Analysts and BI Developers).
Increase speed to delivery by implementing workload/workflow automation solutions.
Perform other duties as assigned.
Ability to use a wide variety of open source technologies and cloud services
Basic coding/scripting experience using Python, R, shell scripts
Basic experience with SQL, Tableau, Looker, Alteryx, and ETL techniques
Basic background in Linux/Unix/CentOS installation and administration; Windows experience preferred
Basic knowledge in data storage that demonstrates knowledge of when to use a file system, relational database (i.e. Snowflake), or NoSQL variant
Experience with Spark
Basic familiarity with JavaScript API, Rest API or Data Extract APIs
Basic experience receiving, converting, and cleansing big data
Basic experience with visualization or BI tools, such as Tableau and Looker
Basic experience with data workflow/data prep platforms, such as Airflow, Infomatica, Pentaho, or Talend
Ability to identify and resolve end-to-end performance, network, server, and platform issues
Attention to detail with the ability to effectively prioritize and execute multiple tasks
Hands-on working experience with RDBMS, SQL, scripting, and coding
Linux/Unix/CentOS system admin
Basic coding/scripting experience using Python, R, shell scripts
Basic experience with data workflow/data prep platforms, such as Airflow
Basic knowledge of best practices and IT operations in an always-up, always-available service
Basic experience receiving, converting, and cleansing big data
Basic experience with visualization or BI tools, such as Tableau and Looker
Basic experience receiving, converting, and cleansing data
Basic knowledge of best practices and IT operations in an always-up, always-available service

Education
Degree in an engineering discipline or computer science, or related field, or with equivalent experience.