Staff Engineer, Data Engineer (Cloud architecture)
Staff Engineer, Data Engineer (Cloud architecture)
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Salary Not Disclosed
1 Vacancy
Job Description
REQUIREMENTS:
- Total experience 7 years.
- Strong working experience in data engineering.
- Strong experience with cloud platforms (AWS Azure or GCP) especially in architecting and managing data solutions.
- Proficiency in building and maintaining ETL/ELT pipelines using tools such as Apache Airflow DBT or similar.
- Handson experience with both structured (SQL) and unstructured (e.g. JSON Parquet log files) data.
- Experience with relational and NoSQL databases (e.g. PostgreSQL MongoDB Cassandra).
- Strong understanding of data modeling principles and best practices.
- Familiarity with data visualization tools and strategies is a plus (e.g. Power BI Tableau).
- Knowledge of data governance security practices and compliance standards like GDPR and CCPA.
- Excellent problemsolving communication and collaboration skills.
RESPONSIBILITIES:
- Writing and reviewing great quality code.
- Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design documents explaining overall architecture framework and highlevel design of the application for the developers.
- Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and nonfunctional requirements; and defining technologies patterns and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
