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Sr. Cloud Software Data Engineer 14+ Years exp in Houston, TX_ Hybrid Contract at Houston, Texas, USA
Email: [email protected]
From:

Sanaullah,

Schrilltech

[email protected]

Reply to:   [email protected]

Hi There,

Please have a look below JD and let me know if you are interested in joining a new project.

Sr. Cloud Software Data Engineer (14+ Years exp) in Houston, TX_ Hybrid Contract

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 plans 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 
1. 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

2. 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 ML training/retraining, Model Registry, ML model performance measurement

Oil and gas industry experience

Architectural expertise"

Please Share below details

Resume ::

Visa Status ::

Hourly Rate ::

Best Regards, 

Sanaullah

Keywords: continuous integration continuous deployment machine learning
Sr. Cloud Software Data Engineer 14+ Years exp in Houston, TX_ Hybrid Contract
[email protected]
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Fri Sep 06 21:28:00 UTC 2024

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