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Cloud Software Engineer

2 months ago

Houston, Texas, United States NR Consulting Full time
Job Title:
Cloud Software Engineer

Job Summary:
NR Consulting is seeking a highly skilled Cloud Software Engineer to join our team. As a Cloud Software Engineer, you will be responsible for developing data engineering applications using third-party and in-house frameworks, leveraging a broad set of development skills that cover data engineering, data accessibility skillsets.

Responsibilities:

Work with subject matter experts to clarify requirements and use cases
Turn requirements and user stories into functionality via implementation efforts which includes:
  • Design, build & maintain efficient, reusable, reliable code, High Quality software, Documentation, Traceability

Develop server-side services to be elastically scalable and secure by design to support high volume & high velocity data processing.

Services should be backward and forward compatible to ease deployment.
Ensure the solution is deployable, operable and secure by default.
Write and maintain provisioning, deployment, CI/CD and maintenance scripts for services they developed
Write Unit Tests, Automation testing, Data Simulations
Support, maintain, troubleshoot and fine-tune working cloud environments, and the software run within
Builds prototypes, products and systems that meets the project quality standards and requirements
Be an individual contributor which includes technical leadership and documentation to developers and stakeholders
Provide timely corrective actions on all assigned defects and issues.
Contributes to development plan by providing task estimates.
Fulfil organizational responsibilities (sharing knowledge & experience with other teams/ groups)
Conduct technical training(s)/session(s), write whitepapers/case studies/blogs etc.

Requirements:

5+ years of software development experience in Big Data technologies (Spark/, Database & Data Lakes)
SQL, No-SQL, JSON, CSV, Parquet data types of experience
Advanced knowledge of large-scale parallel computing engines (Spark) - provisioning, deployment, development of computing pipelines, operation and support, performance tuning (3y+)
Good experience in building/tuning Spark pipelines in Python
Design, build and maintain data processing pipelines in Apache NiFi, Spark Jobs, AirFlow
Extensive knowledge of data structures, patterns and algorithms (5y +)
Expertise with several back-end development languages and their associated frameworks - python (3y+)
In-depth knowledge of application, cloud networking and security as well as related development best-practices and patterns (3y+)
Cloud platform knowledge - Azure public cloud expertise (3y+)
Advanced knowledge of DevOps, CI/CD and cloud deployment practices (5y+)
Advanced knowledge of containerization and virtualization (Kubernetes), as well as scale clusters & debug issues on high volume/velocity data jobs and best practices (3y+)
Advanced skills in setting up and operating databases (relational and non-relational) (3y+)
Good experience in Databricks, Spark on Kubernetes
Good Programming experience with Python
Experienced in application profiling, bottleneck analysis and performance tuning
Good communication and cross functional skills.
Problem solving skills, Team player, adaptable & hustler
Have worked in highly Agile projects in past

Preferred Qualifications:

Build, test and maintain tools, infrastructure to support Data science initiatives
Exposure in PowerBI, SpotFire, Dataiku
Knowledge and experience with version control tools (Git preferred but not mandatory)
In Country cloud providers - Azure Stack (3y+)
Experience deploying machine learning models into production environment.
Experience with Client training/retraining, Model Registry, Client model performance measurement
Oil and gas industry experience
Architectural expertise