Sr. Python/API Big Data Developer
Posted on :
11-10-2022
Employer Active
The job posting is outdated and position may be filled
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Responsibilities include:
Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements.
Help in design and implementation of algorithms and tools for analytics and data scientist teams.
Use a variety of languages, tools, and frameworks to marry data and systems together.
Collaborate with modelers, developers, DevOps, and project managers on meeting project goals.
Strong understanding of Python code CI/CD deployment and test automation suites.
Drive a culture of automation, test coverage and architect for Micro Services, API, Cloud Native and Headless Architecture Decoupling the front ends and backends of the technology stack.
Required Qualifications
5+ years of software engineering experience
4+ years of Python experience
2+ years of experience with H2O software or Keras with TensorFlow
2+ years of RESTful API design and development experience
2+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka, and Map
2+ years of experience with building, deploying, and securing cloud platforms
2+ years of configuration experience with Cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or MS Azure
Strong in data science python libraries like NumPy, Pandas, SciPy.
Solid understanding of distributed computing.
Strong skills in big data, PySpark, HDFS and distributed computing.
Experience in creating APIs using python, preferably Django and DRF.
Design and build reusable solutions to in data work stream of model development life cycle.
Prior banking domain skills and depth knowledge in risk & finance forecasting domain
Desired Qualifications
A Master's degree or higher in computer science or finance
A professional certification in technology
Basic knowledge of industry regulations related to building technological solutions
Knowledge and understanding of DevOps principles
Should have leadership skills to drive work stream from technical aspects
Should have command knowledge on story estimations, design reviews, code reviews, quality code delivery
Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements.
Help in design and implementation of algorithms and tools for analytics and data scientist teams.
Use a variety of languages, tools, and frameworks to marry data and systems together.
Collaborate with modelers, developers, DevOps, and project managers on meeting project goals.
Strong understanding of Python code CI/CD deployment and test automation suites.
Drive a culture of automation, test coverage and architect for Micro Services, API, Cloud Native and Headless Architecture Decoupling the front ends and backends of the technology stack.
Required Qualifications
5+ years of software engineering experience
4+ years of Python experience
2+ years of experience with H2O software or Keras with TensorFlow
2+ years of RESTful API design and development experience
2+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka, and Map
2+ years of experience with building, deploying, and securing cloud platforms
2+ years of configuration experience with Cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or MS Azure
Strong in data science python libraries like NumPy, Pandas, SciPy.
Solid understanding of distributed computing.
Strong skills in big data, PySpark, HDFS and distributed computing.
Experience in creating APIs using python, preferably Django and DRF.
Design and build reusable solutions to in data work stream of model development life cycle.
Prior banking domain skills and depth knowledge in risk & finance forecasting domain
Desired Qualifications
A Master's degree or higher in computer science or finance
A professional certification in technology
Basic knowledge of industry regulations related to building technological solutions
Knowledge and understanding of DevOps principles
Should have leadership skills to drive work stream from technical aspects
Should have command knowledge on story estimations, design reviews, code reviews, quality code delivery
Employment Type
Full Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
