Middle Python Developer with Spark + Welcome Bonus 3000 (only in Poland and Hungary) id 3732 Offline

About Our Customer:

The сustomer is a leading provider of vehicle lifecycle solutions, enabling the companies that build, insure, repair, and replace vehicles to power the next generation of transportation. The company delivers advanced mobile, artificial intelligence, and connected car technologies through its platform, connecting a vibrant network of 350+ insurance companies, 24,000+ repair facilities, OEMs, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer’s collective set of solutions inform decision-making, enhance productivity, and help clients deliver faster and better experiences for end consumers. 

The сustomer’s company was ranked #17 in the Top 100 Digital Companies in Chicago in 2020 by Built in Chicago, an online community for digital technology entrepreneurs in Chicago, and was named one of Forbes best mid-sized companies to work for in 2019 – an important accolade and retention tool for the 2,600+ full-time company employees (alongside 350 dedicated contractors).

The сompany’s corporate headquarters is in downtown Chicago in the historic Merchandise Mart – a certified LEED (Leadership in Energy and Environmental Design) building that is also known to be a technology hub within the broader metro.

 

About Our Project:

Safekeep is a business unit that focuses on automating insurance claim subrogation for auto, workers compensation, property, and general liability claims.

SafeKeep leverages data analysis and AI/Machine learning packaged into a smart workflow engine to :

Identify claims with subrogation potential

Minimize the impact of subrogation team turnover

Decrease the administrative costs of subrogation

Simplify and optimize cross-carrier interaction

UI for the smart workflow engine is built specifically for subrogation business processes, bringing together data for decision-making about and tracking of the recovery process. This includes demand packages, settlements, and payments.

 

SafeKeep provides a digital platform for carrier-to-carrier collaboration to standardize and streamline the interaction.

In 2020 alone, SafeKeep won the following awards:

 

Innovation Championship by Zurich – out of 1300 solutions worldwide, SafeKeep won 1st place.

Innovation in Insurance awards – Out of 359 innovations from 45 different countries, Safekeep won the Global Silver Award, one of “the 3 best innovations at a global level” in InsurTech

Plug and Play Insurance Partners voted Safekeep as the #1 InsurTech

 

Requirements:

3+ years of industry experience in Software Development, Data Engineering, Business Intelligence, or a related field with a solid track record of manipulating, processing, and extracting values from large datasets

Hands-on experience and highly advanced knowledge of SQL/Non-relational, Data Modeling, ETL Development leveraging Python, and Data Warehousing

Strong experience using big data technologies (Postgresql, Hadoop, Hive, Hbase, Spark, etc.)

Experience working with data streaming technologies (Kafka, Spark Streaming, etc.)

Knowledge and experience with Data Management and Data Storage best practices

Proficiency in both written and verbal communication, sufficient for success in a remote and largely asynchronous work environment

Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions

Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems

Experience owning a feature from concept to production, including proposal, discussion, and execution

Self-motivated and self-managed with strong organizational skills

 

English level:

Intermediate+

 

Nice to Have:

Bachelor’s degree in Engineering, Mathematics, or a related technical discipline

Master’s degree in computer science, mathematics, statistics, or other quantitative fields

Background in financial services including banking, insurance, or an equivalent

Degree in Computer Science, Engineering, Mathematics, or a related field and 7+ years industry experience

Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

 

Responsibilities:

Design, implement, and support scalable multi-tenant data infrastructure solutions to integrate with multi heterogeneous data sources; aggregate and retrieve data in a fast and secure mode; curate data that can be used in reporting, analysis, machine learning models, and ad-hoc data requests

Designing and implementing complex ingestion and analysis pipelines and other BI solutions

Interface with other engineering and ML teams to extract, transform, and load data from a wide variety of data sources using SQL/Non-

relational and big data technologies