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Mid LevelFull-timePythonAWSTerraformCI/CDAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Swile is seeking a Data Engineer to join their team and contribute to their employee super-app. This role involves translating business needs into data solutions and products aligned with the data platform strategy.
Key Responsibilities
- →Translate business needs into data solutions and products aligned with the data platform strategy
- →Negotiate with stakeholders to develop an impact-driven data strategy
- →Mentor team members on data usage and techniques for better data knowledge and decentralization
- →Develop ETL/ELT routines and data pipelines
- →Implement CI/CD routines for data quality
- →Create, manage, and document data models using dbt to ensure data quality and efficiency
- →Use Metabase to create visual dashboards and reports that provide actionable insights
- →Design and implement efficient data storage solutions to support analytics
- →Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
- →Monitor the integrity and performance of data systems and make necessary adjustments
- →Ensure compliance with data security and privacy policies
Requirements
- ✓Bachelor’s degree in Computer Science, Engineering, or a related field
- ✓Intermediate/Advanced English proficiency
- ✓Advanced experience in data modeling with dbt
- ✓Proven experience as an Analytics Engineer or Data Engineer
- ✓Experience in the analytics workflow, including data transformation, quality checks, building pipelines, analyses, and dashboards
- ✓Advanced SQL knowledge with experience in relational and non-relational databases
- ✓Hands-on experience with data integration tools like Stitch
- ✓Experience with AI tools for more efficient deliverables
- ✓Ability to create intuitive reports and dashboards using Metabase
- ✓Strong analytical skills with the ability to collect, organize, analyze, and disseminate meaningful information
- ✓Excellent communication and collaboration skills to work effectively with multidisciplinary teams
Preferred Qualifications
- ✓Knowledge of programming languages such as Python
- ✓Experience with data orchestrators like Airflow
- ✓Knowledge of AWS data stack
- ✓Infrastructure as Code (IaC) with Terraform
- ✓Relevant certifications in data engineering or data analysis
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