• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 9th Dec 2023

Looking for a data engineer to design, develop and maintain pipelines and workflows and create analytics to digitally transform the current NA Accident and Health reporting and business decision processes.

Responsibilities
Development and support of data pipelines that produce data assets for various A&H workstreams including UW, UA, Actuarial, Claims

Handle data pipelines while testing for data curation, parsing, cleaning, transformation and enrichment of data

Work with fundamentals of data processing, data pipeline, data lineage and ETL (Extract-Transform-Load) methodologies

Implement the project according to the Software Development Life Cycle (SDLC) and programming by using fast paced agile methodology, involving task completion, user stories

Utilize knowledge of database management system software, object oriented programming development, system architecture and components and various programming languages

Review and analyze business workflows and user data needs

Design and implement business performance dashboards

Write customized queries/programs to generate automatic periodical reports highlighting all the Key Performance Indicators (KPIs)

Build applications using SQL and/or Python scripts to manipulate data, monitor and help to improve data quality

Design, build and maintain end-to-end data solutions supporting our processes with the right data architecture

Have working knowledge of Apache Spark, big data processing and building products on distributed cluster-computing framework

Construct workflow charts and diagrams and writing specifications.

Documentation of end-to-end data pipeline process.

Documentation of data assets for information management purposes.

Ad hoc team / business support as needed.

Exploration and evaluation of new technologies and platforms.

Requirements:

 Bachelor’s or equivalent degree Computer Science, Data Science, Statistics or another relevant quantitative field

5+ years as a data engineer

Sound Python and SQL skills with ability to query and analyze data, understand complexity and data structures
Experience with data and analytics technology, including but not limited to Hadoop, Spark, Java, Python, R, Elasticsearch, and others.

Familiarity with relational database concepts

Detail-oriented, analytical, and inquisitive
Good communication skills

Highly organized with strong time-management skills

Ability to work independently and collaborate well with others.

Ability to affect smooth organizational transformations.