Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field., 3-5 years of relevant experience in cloud data engineering roles., Proficiency in AWS data technologies such as Amazon S3, Redshift, and Glue., Excellent communication skills for collaboration with technical and non-technical stakeholders..

Key responsabilities:

Design, develop, and maintain scalable data pipelines in the AWS cloud environment.

Collaborate with cross-functional teams to translate data requirements into technical specifications.

Implement data quality and governance frameworks to ensure data accuracy and compliance.

Monitor and troubleshoot data pipelines to resolve performance issues.

Job description

Company Overview: Avahi is a trusted AWS partner that helps businesses transform their operations with cloud-based solutions. We are a dynamic and rapidly growing company known for its vibrant culture and innovative approach. As an emerging player in the industry, we thrive on challenges and seek individuals who are enthusiastic about contributing to our exciting startup journey. We are on the lookout for motivated go-getters who are ready to make a significant impact and be part of a team that values collaboration, creativity, and continuous learning.

Position: AWS- Data Engineer

Location: North America- Remote

Job Type: Full-Time

About the Role:

We are seeking an experienced and highly motivated Cloud Data Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud data technologies, particularly within the AWS ecosystem, and possess the skills necessary to design, implement, and maintain robust data solutions. The Cloud Data Engineer will play a pivotal role in shaping our data architecture, ensuring data integrity, and enabling seamless access to data for analytical and business intelligence purposes.

Responsibilities

Design, develop, and maintain scalable and efficient data pipelines within the AWS cloud environment.
Design and implement data models that support specific business needs and analytical requirements.
Develop and maintain a clear and standardized data schema to ensure data consistency and ease of access.
Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
Build and manage data lakes, ensuring the availability, consistency, and security of data for various data consumers.
Implement data quality and data governance frameworks to ensure data accuracy, reliability, and compliance with regulatory standards.
Optimize data storage, retrieval, and processing mechanisms for improved performance and cost-effectiveness.
Work closely with business stakeholders to support their data needs and enable advanced analytics and reporting.
Monitor and troubleshoot data pipelines, identifying and resolving performance bottlenecks and other issues.
Stay current with industry trends and emerging technologies related to cloud data engineering and recommend their incorporation as appropriate.

Requirements

Cloud Data Expertise: Proficiency in cloud-based data technologies, particularly within the AWS ecosystem. Experience with services such as Amazon S3, Amazon Redshift, AWS Glue, AWS EMR, and AWS Lambda.
Data Modeling Expertise: Proficiency in data modeling methodologies, including conceptual, logical, and physical modeling.
AWS Data Experience: Demonstrated hands-on experience working with various AWS data services and tools for data storage, processing, and integration.
Data Lake Management: Experience in designing, implementing, and managing data lakes, including data ingestion, transformation, and storage strategies.
BI and Analytics Tools: Understanding of business intelligence and analytics concepts. Familiarity with tools such as Tableau, Power BI, or similar platforms.
Problem-Solving Skills: Ability to identify issues, troubleshoot data-related problems, and propose effective solutions.
Communication and Collaboration: Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
Experience: 3-5 years of relevant experience in cloud data engineering roles, with a proven track record of delivering data solutions in complex environments.

Education:

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. Relevant certifications in AWS or cloud technologies are a plus.

Benefits

Why Avahi:

Join a dynamic startup environment with a strong emphasis on innovation and collaboration.
Make a meaningful impact on the company's growth and technical direction.
Work with a team of highly skilled professionals who are passionate about technology.
Competitive compensation package, including salary, benefits, and opportunities for career advancement.