Middle Python Developer + Welcome Bonus 3000 (only in Poland and Hungary) id 3732
We are looking for a Middle Python Developer to join our team. As a member of the Engineering team, you will work closely with data scientists and play a key role in designing and building state-of-the-art data platforms supporting the company’s predictive models of training and inferencing tasks.
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
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
About Exadel
Exadel — международная IT-компания, занимающаяся разработкой программного обеспечения и IT-консалтингом. Основана компания в 1998 году. Главный офис находится в Уолнат Крик, Калифорния, США. В настоящий момент у компании есть центры разработки в шести странах и более 2000 сотрудников в различных городах США (Уолнат Крик, Калифорния и Боулдер, Колорадо), Беларуси (Минск, Гродно, Гомель, Витебск), Украины (Винница, Харьков, Одесса, Львов, Мариуполь), Литвы (Вильнюс, Клайпеда), Польши (Белосток, Щецин, Познань, Варшава) и Венгрии (Будапешт).Exadel is a global software application development company providing innovative technology solutions to its clients. Exadel’s technology leaders partner with our customers to deliver high-quality products – quickly and cost-effectively.
If you’re looking to grow your career in a dynamic environment rich with opportunity, Exadel has many exciting career choices. As a successful, high-growth company, we know that our employees are critical to our success, which is why we encourage ingenuity, creativity and teamwork as important elements to the growth of our business. We believe that career growth and business growth go hand in hand.
Company website:
https://exadel.com/
DOU company page:
https://jobs.dou.ua/companies/exadel/
Job posted on
13 September 2022
21 views
4 applications
- Category: Python
- Python, My SQL, Basic SQL, PySpark, Spark
- English: Intermediate
- 3 years of experience
- Office/Remote of your choice
- Outsource
- Hungary, Poland
- Only candidates from Europe and Ukraine
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