Data Engineer
Tasks
- Assist production implementation
- Build data marts
- Build data warehouse
- Conduct data analysis
- Conduct unit testing
- Create documentation
- Define KPIs
- Define reporting requirements
- Deliver stakeholder aligned project outcomes
- Design data pipelines
- Execute data governance initiatives
- Implement secure software components
- Ingest and transform large data volumes
- Lead data engineering projects
- Maintain data flow documentation
- Manage metadata
- Mentor junior data engineers
- Monitor data quality
- Monitor production data reliability
- Optimize analytical workloads
- Perform feature engineering
- Perform gap assessments
- Perform process mapping
- Plan and execute data pipeline initiatives
- Prepare data for machine learning
- Provide user and application support
- Support compliance alignment
- Support data governance
- Support system testing
- Support user acceptance testing
- Translate business requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Spark | BigQuery | Cloud platform | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Warehousing | ETL | Google Cloud | Google Cloud Platform | KPI Definition | Kafka | Looker | Metadata Management | NoSQL | PMP | Power BI | Prince2 | Project Management | Python | RDBMS | SQL | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Analyst | Business Analyst | Data Engineer | Engineer | Senior Data Engineer
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