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Senior Data Engineer
Skills
Warehouse OperationsApache SparkBusiness IntelligenceCore DataData AnalyticsData WarehousingOLAP
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in data engineering and data product development
- Experience with Spark Hadoop or Kafka
- Databricks platform experience is a strong bonus
- Experience with data science and machine learning tools such as pandas scikit-learn or HPO
- Data warehousing knowledge including SQL OLTP OLAP or DSS
- Strong understanding of the end to end data analytics workflow
- Proven problem solving and debugging skills
- Strong verbal and written communication skills
- Intermediate leadership and self-motivation
- Excellent time management and prioritization skills
- Knowledge of AWS Azure or GCP is a plus
- Bachelor’s degree in a STEM related field or equivalent
Nice to have
- Leadership
- Self-motivated
- Problem solver
- Communicative
- Detail-oriented
- Customer-centric
Day to day
- Design and build scalable data solutions for customers using modern data engineering practices.
- Capture transform and operationalize complex data pipelines that support AI ML and business intelligence use cases.
- Collaborate with internal teams and customers to troubleshoot defects improve data quality and educate users on analytic environments.