Reliability & Data Analysis Engineer
Tasks
- Analyze large datasets and provide recommendations
- Build dashboards and visualizations for stakeholders
- Cleanse transform aggregate and integrate data
- Collect stakeholder requirements and translate into data solutions
- Define data requirements with cross-functional teams
- Develop data models and ETL processes
- Develop predictive models with statistical and machine learning methods
- Document data models ETL processes and analytics artifacts
- Ensure data security and privacy compliance
- Implement data governance for data quality consistency and compliance
- Resolve data handling problems
- Select data tools and platforms
- Troubleshoot production data issues
- Tune and optimize data pipeline performance
Perks/Benefits
- Employee pension scheme
- Employee recognition program
- Flexible working hours
- Learning and development program
- Life insurance
- Medical insurance
- Paid time off
- Relocation assistance not provided
Skills/Tech-stack
Agile | Apache Spark | CI/CD | Data Aggregation | Data Cleansing | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data Visualization | Data integration | DevOps | ETL | Git | Hadoop | Language Processing | Machine Learning | NLP | Natural Language | Natural Language Processing | PowerBI | Predictive Modeling | Python | R | Relational databases | SQL | Statistical Analysis | Tableau
Education
Roles
Analyst | Data Analyst | Data Science | Data Science Engineer | Engineer | Reliability Engineer
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