Problem Solving (regular)
Communication Skills (regular)
We're looking for a Senior Python Developer with Big Data experience (PySpark) to join our friendly team.
Welcome Bonus $4000
The Enterprise Analytics team at the customer’s company has an open position for a Senior Python developer with Big Data experience (PySpark).
The team builds platforms to provide insights to internal and external clients of customer’s businesses in auto property damage and repair, medical claims, and telematics data.
The customer’s solutions include analytical applications for claim processing, workflow productivity, financial performance, client and consumer satisfaction, and industry benchmarks.
Data engineers use big data technology to create best-in-industry analytics capability. This position is an opportunity to use Hadoop and Spark ecosystem tools and technology for micro-batch and streaming analytics.
Data behaviors include ingestion, standardization, metadata management, business rule curation, data enhancement, and statistical computation against data sources that include relational, XML, JSON, streaming, REST API, and unstructured data.
The role has responsibility to understand, prepare, process and analyze data to drive operational, analytical and strategic business decisions.
The Data Engineer will work closely with product owners, information engineers, data scientists, data modelers, infrastructure support and data governance positions.
We look for engineers who start with 2-3 years of experience in the big data arena but who also love to learn new tools and techniques in a big data landscape that is endlessly changing.
About Exadel - Who We Are :
Since 1998, Exadel has been engineering its own software products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel currently has 2000+ employees in development centers across America, Europe, and Asia.
Our people drive Exadel’s success, and they are at the core of our values, so Exadel is a people-first cultured company.
About Our Customer :
The customer is an American company based in Chicago. It accelerates digital transformation for the insurance and automotive industries with AI, IoT, and workflow solutions.
About Our Project :
The customer has been working on next-generation analytics since 2018 and has migrated to Amazon EMR for cloud big data platform services.
The customer provides software products and services to insurance companies, repair shops, OEMs, parts suppliers, and others, and has a variety of products in auto physical damage, casualty, telematics, and parts domain.
All of these applications share data with the analytics team to build an enterprise data lake, which also allows the customer to do next-generation analytics on the amassed data.
Hortonworks is the current vendor. It will be replaced by Amazon EMR. Tableau is going to be the BI vendor. Microstrategy currently exists and will be phased out in early 2023.
All data is sent to the data lake, and the customer can do industry reporting. These data are used by a data science team to build new products and an AI model.
We will be moving to real-time streaming using Kafka and S3. We are doing POC to use Dremio and Presto for the query engine.
We're migrating to version 2.0 using Amazon EMR and S3, and Query engine is bucketed under 2.0 project.
Project Advantages :
Project Tech Stack :
Technologies used are all open source : Hadoop, Hive, PySpark, Airflow, and Kafka, to name a few
Project Stage : Active Development
Nice to have :
We expect the candidate to have the necessary experience or understanding of the equivalent tools. The above-mentioned developments build up the project’s ecosystem.
English level : Intermediate +
Advantages of Working with Exadel :
If you’re looking for a challenge that will lead you to the next level of your career, you’ve found the right place