Senior Technical Systems Analyst - Data Engineering & AWS

New

Workable workplace: remote; Workable locations: Dinastía, Nuevo León, MexicoFull-TimeSenior

Salary not disclosed

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Job Details

Bring strong data engineering experience, including data modeling, data transformation, and data integration.
Have hands-on experience with AWS and cloud-based data solutions.
Demonstrate strong knowledge of relational databases and SQL.
Use Python for data processing, querying, validation, and automation.
Have hands-on experience with ETL/ELT processes and data pipelines.
Have experience with data mapping and transformation logic.
Understand system architecture, microservices, distributed systems, and data integration patterns.
Be able to read and interpret system architecture diagrams and technical specifications.
Have experience with GitHub or another version control system, SDLC processes, Agile methodologies, and tools such as Jira.
Be familiar with secure data handling, particularly sensitive financial data and PII.
Gather and document functional and non-functional requirements, and create technical documentation, user stories, and acceptance criteria.
Work directly with business stakeholders and collaborate with technical and non-technical stakeholders.

Analyze business requirements and translate them into technical solutions and specifications aligned with project objectives.
Design and support the implementation of scalable, flexible, and efficient technical solutions.
Collaborate with Product Owners, Solution Architects, developers, and stakeholders to align business needs with technical delivery.
Evaluate existing systems, architectures, and processes to identify opportunities for optimization, integration, and improvement.
Create and maintain technical documentation, including system architecture diagrams, integration specifications, and technical processes.
Perform technical assessments and support solution delivery while ensuring quality standards and project timelines are met.
Investigate and troubleshoot technical issues during implementation and after deployment.
Participate in Agile ceremonies, including sprint planning, stand-ups, and reviews.
Recommend architectural improvements and technical best practices to enhance scalability and performance.

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