Project Description:
About the role: We are seeking a skilled Data Engineer to join a rapidly growing fintech project in the early stages of its AWS data journey. The ideal candidate will possess deep expertise in data engineering and AWS cloud platforms, with a focus on data governance, warehousing, ETL automation, and analytics enablement. The Data Engineer will play a key role in accelerating data transformation and streamlining data infrastructure and analytics capabilities.
Responsibilities:
Cloudgeometry Engineering Profile: We are in search of experienced senior software engineers who possess a deep passion for technology and an eagerness to tackle complex technical challenges. You have a strong interest in leveraging AI and cutting-edge methodologies to drive efficiency and precision in your work. A strong commitment to the organization's growth and the advancement of its internal ventures is critical. You care about your project, but also about CloudGeometry communities and their development. Sharing best practices with engineering communities across projects is paramount to you. You must demonstrate a commitment to continuous learning, allocating time to acquire new skills and obtain certifications to validate your expertise and experience.
Requirements
Required Skills:
You will: Design and implement scalable data infrastructure and pipelines to optimize data processing, storage, and analytics capabilities across the organization. Develop ETL pipelines using Apache Airflow to automate data ingestion, transformation, and integration. Optimize data warehouse performance using Amazon Redshift for high-performance analytics. Leverage Amazon S3 for scalable, secure, and cost-effective data lake storage. Implement data modeling and transformation best practices to improve analytics and reporting. Ensure data integrity and compliance by collaborating with data governance and data quality teams. Work with BI and analytics teams to ensure data pipelines support business intelligence and reporting needs. Assist in data modeling and transformation to enhance reporting accuracy and consistency. Provide data extraction and transformation support for Power BI as part of a transition from another analytics tool.
Other Details:
Successful candidate typically possesses: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. 5+ years of experience in data engineering, designing and implementing scalable data infrastructure and pipelines. Strong experience with AWS cloud services, including Amazon Redshift (data warehousing), Amazon S3 (data lake storage), and Apache Airflow (ETL orchestration). Proven ability to develop and optimize ETL pipelines for efficient data ingestion, transformation, and integration. Experience with data modeling and transformation best practices to support analytics and reporting. Familiar with CI/CD practices, version control (Git), automated testing, and Agile environments. Experience with the Agile development process in a distributed engineering team. Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members. Experience working in US-led high-tech companies and startups. C1 English
