
1001 - 5000 employees
Founded 1980
CCC Intelligent Solutions Inc. is a leading cloud platform for the multi-trillion-dollar P&C insurance economy creating intelligent experiences for insurers, repairers, automakers, part suppliers, lenders, and more.
🔥 0 minutes ago
Airflow
Amazon Redshift
Apache
AWS
Cloud
ETL
Hadoop
HBase
HDFS
Kafka
PySpark
Python
Spark
SQL
Subversion
Terraform
Unix
Yarn
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1001 - 5000 employees
Founded 1980
CCC Intelligent Solutions Inc. is a leading cloud platform for the multi-trillion-dollar P&C insurance economy creating intelligent experiences for insurers, repairers, automakers, part suppliers, lenders, and more.
• Senior Data Engineers for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). • Develop large scale end to end data pipeline applications, covering multiple data sources spread across data center and AWS cloud. • Use developed software applications to locate and analyze source data; create data flows to extract, profile, and store ingested data; define and build data cleansing and imputation; map to a common data model; transform to satisfy business rules and statistical computations; and validate data content. • Produce software data building blocks, data models, and data flows, such as dimensional data, data feeds, dashboard reporting, and data science research and exploration. • Produce automated software tests of data flow components and for data content quality. • Automate orchestration and error handling for use by production operation teams. • Provide technical expertise to diagnose errors from production support teams. • Guide junior team members in performance tuning applications in distributed computing environments. • Perform root cause analysis on all data and processes and identify opportunities for improvement. • Develop metadata-driven and fully parameterized data processing tools. • Mentor junior engineers.
• Master’s degree in Computer Science, Computer Engineering, Management Information Systems or related field plus 2 years of experience in software development/data processing or analysis required. • Hands-on experience with: Programming using Python & PySpark; Hadoop; HDFS, map-reduce, YARN, AWS EMR, Redshift, Terraform; Hive, HBase, parquet, ORC, Spark SQL, Sqoop, Apache Hudi; Orchestrating ETL pipelines involving data sourcing, transformations & publishing using Apache Airflow; Performance tuning applications in distributed computing environments; Designing & developing data pipeline applications with Apache Kafka; Advanced SQL for data profiling & data validation; Unix commands & scripting; performing root cause analysis on internal & external data & processes to identify opportunities for improvement; JIRA, Gitlab, Subversion; Development of metadata-driven & fully parameterized data processing tools; AWS.
• 401K Match • Paid time off • Annual Incentive Plan • Performance Bonus • Comprehensive health insurance • Adoption Assistance • Tuition Reimbursement • Wellness Programs • Stock Purchase Plan options • Employee Resource Groups
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