Software Engineer

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Job description

Job title: Software Engineer

Location: Houston TX 77077

Duration - 6+ months

Summary

"A Cloud Software & Data Engineer is 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. The Cloud Software & Data Engineer is responsible for the complete software lifecycle analysis, design, development, testing, implementation and support, as well as troubleshooting issues, deployment/upgrade of services and associated data, performance tuning and other maintenance work. This specific type of Full stack developer will focus on additional items: data engineering (large scale data transformation and manipulation, ETL, etc.), as well as infrastructure fine-tuning for optimization purposes. The position reports to the software project manager.

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.

Skills and knowledge:

Mandatory

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

Nice to have

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 "

Education:

Bachelor's degree or higher in Computer Science or related with minimum years working experience

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