Data Engineer
1 month ago
Required Skills:
- 3+ years of exp. implementing and managing integration platforms such as Boomi, MuleSoft, Azure Integration Services, etc.
- 3+ years of exp. designing, implementing, and managing at scale data analytics infrastructure using platforms such as Azure Data Lake, Snowflake, etc.
- 5+ years of exp. in data integration, ETL development, data engineering, or related fields.
- 3+ years of proven track record in managing end-to-end data integration projects, including planning, design, implementation, and maintenance.
- 3+ years of exp. with data profiling and quality assurance to ensure data accuracy and reliability
- 3+ years of exp. with troubleshooting data integration issues, identifying performance bottlenecks, and resolve data inconsistencies
- 3+ years of proven analytical mindset to transform raw data into meaningful insights
- 3+ years of exp. with data modeling concepts and tools to design databases and data warehouses.
- 5+ years of exp. implementing and managing API infrastructure.
- 3+ years of exp. in integration methodologies.
- 3+ years of hands-on programming and application development experience.
- 4+ yrs. of relational database experience (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
- 3+ yrs. of exp. interpreting business and user requirements to provide solutions.
- 3+ yrs. of exp. analyzing business processes and their dependencies.
Preferred Skills:
- Knowledge or background of airport systems and airport technology landscape.
- Certifications like Certified Data Management Professional (CDMP) or platform-specific ones (e.g., for Salesforce, AWS, Microsoft Azure, or MuleSoft).
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