Senior Data Engineers
Chicago (Green St), IL, United States
R
USD 108K-125K Senior-level Full Time
Tasks
- Automate ETL orchestration and error handling
- Automate data flow tests
- Build dimensional data models and data feeds
- Build end to end data pipeline applications
- Define data cleansing and imputation
- Develop metadata driven parameterized data processing tools
- Diagnose production data pipeline errors
- Ensure data content quality
- Ingest profile and store source data
- Map data to Common Data Model
- Mentor junior engineers
- Perform root cause analysis on data processes
- Produce dashboard reporting and data science datasets
- Transform data to satisfy business rules
- Tune distributed data processing applications
- Validate ingested data content
Perks/Benefits
- 401k match
- Adoption Assistance
- Annual Incentive Plan Performance Bonus
- Comprehensive health insurance
- Employee resource groups
- Paid time off
- Stock purchase plan options
- Telecommuting
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
AWS EMR | Amazon Redshift | Apache Airflow | Apache Hudi | Apache Kafka | Apache Sqoop | Cause analysis | Data Validation | Data profiling | Distributed Computing | GitLab | HBase | HDFS | Hadoop | Hive | Jira | MapReduce | ORC | Parquet | PySpark | Python | Root Cause Analysis | Root cause | SQL | Scripting | Spark SQL | Subversion | Terraform | Unix | YARN
Education
Bachelor of Science | Master of Engineering | Master of Science
Roles
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