Design and develop scalable data solutions, optimize performance, collaborate with teams, and implement CI/CD for data pipelines.
Senior Software Engineer (Data)
Location: Remote in LATAM
Job Overview
As a Senior Software Engineer, you will be responsible for designing, developing, testing, and deploying new platform features and resolving issues and bugs. You will be part of a high-powered Data Engineering team that is responsible for the data persistence layers, data processing pipeline and analytics components within the MikMak Platform. The team is composed of talented developers, QA specialists, and Product Managers, all working together to drive innovation and deliver impactful solutions. This collaborative environment will give you the opportunity to learn, contribute, and make a meaningful impact on our platform and products.
Key Responsibilities
- A core contributor on the MikMak Data team, consistently designing scalable solutions and delivering code that adheres to our design principles, coding standards, and engineering best practices.
- Lead the development of core capabilities such as scalable data pipelines, storage/query optimization for big data, data lakehouse implementations, and API-delivered insights.
- Focus on writing well-tested and well-documented code with appropriate unit tests and automated integration tests
- Collaborate with other Engineers, Product Management, QA, and other internal stakeholders.
- Key contributor to our CI/CD implementation.
- Contribute to the creation of technical documentation - both internal technical specifications and external facing API documentation.
Required Skills
- 7+ years of experience in software engineering, with a proven track record of delivering Enterprise grade features.
- Expert (over 5 years) in Python and popular data-related libraries and frameworks such as Pandas, NumPy, PySpark.
- Over 5 years of deep SQL expertise, with a strong track record in writing performant queries, optimizing execution plans, and working with large-scale relational datasets.
- Prior experience designing and managing high-volume, high-throughput data persistence and processing systems and architectures that power applications with over 3 9s of uptime.
- Exposure to CI/CD pipelines, monitoring, and automation frameworks for data pipelines and processing.
- Proven experience to analyze, debug, and solve complex technical problems efficiently.
- Attention to detail and enforcing the highest standards of quality and performance
- Experience with relational databases, and with NoSQL databases (like Elastic Search and MongoDB).
- Experience with cloud platforms (e.g., AWS, Azure) and Cloud native frameworks
- Exposure to full stack programming using C#, NodeJS, and front-end Javascript frameworks are highly desirable.
- Exposure to AI and AI/ML Ops pipelines.
- Excellent verbal and written communication skills.
Qualifications
- Bachelor’s or master’s degree in Computer Science or a related field.
Top Skills
AWS
Azure
C#
Elastic Search
JavaScript
MongoDB
Node.js
Numpy
Pandas
Pyspark
Python
SQL
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