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Data Architect
2 months ago
We are a dynamic and innovative travel technology company that fosters a culture of passion, collaboration, and growth. Our team is dedicated to delivering exceptional solutions that empower our customers to succeed.
The RoleWe are seeking a highly skilled Data Architect to join our team as a Python ETL Developer. As a key member of our data management team, you will be responsible for designing, developing, and implementing efficient ETL processes using Python.
Key Responsibilities- Design and develop data architectures that meet business requirements and ensure data quality.
- Develop and maintain ETL processes using Python to extract, transform, and load data into our data warehouse.
- Collaborate with cross-functional teams to integrate data into our corporate systems and deliver projects on time.
- Work with our enterprise customers to migrate data into the cloud and set up ETL processes to move data into the cloud and refresh them daily.
- Design and develop cloud-native applications using Microservices, Elastic Beanstalk, ElastiCache, Lambda, S3, SQS, and SNS.
- Assist the team in optimizing queries and evaluating different architectures while working with internal teams to analyze and optimize the data lake.
- Participate in technical and business discussions relating to future architect direction within the data domain.
- Assist in the analysis, design, and development of a roadmap, design pattern, and implementation based on the current versus future state in a cohesive architectural viewpoint.
- Gather and analyze data, and develop architectural requirements at the project level.
- Participate in the Data Governance Council and support the development of data and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses.
- Research and evaluate emerging data technology, industry, and market trends to assist in project development and/or operational support activities.
- 3+ years of experience in data architecture and modeling.
- 3+ years of experience in data integration or ingestion.
- Expertise in SQL and Python.
- Deep understanding in Data Warehousing, Enterprise Architectures, Dimensional Modeling, ETL (Extract/Transform/Load), Data Analysis, Data Conversion/Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support.
- AWS Certified Developer certification is preferred.
- Strong understanding of core AWS services such as PySpark, Glue, RDS, Lambda, and S3 is an asset.
- Experience in writing API functions for Amazon Lambda to manage some of the AWS services.
- Experience in the travel industry is an asset.
- Experience in proposing architecture, design, and data ingestion concepts independently.
- Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
- Solid understanding of data structures, algorithms, and analytical problems.
- Remote work flexibility.
- Guidance from senior team members.
- Collaboration with a supportive and committed team.
- Prospects for personal and professional development.