Full Stack Engineer

What this Job Entails: 

Astreya is the leading IT solutions provider to deliver technology-enabled services and fuel digital transformation to some of the most exciting companies on the planet. We are at the cusp of a new way of working with our delivery model that helps our clients be positively productive by matching exceptional people to on-site teams delivering world-class IT service. With engineers in over 30 countries and 70 cities around the world, we are a global company working with the world's most recognizable and innovative organizations.

Position Summary

As a Full Stack Engineer at Astreya, you will be responsible for developing and maintaining Data applications using a variety of technologies. You will work on both the front-end (client-side) and back-end (server-side) of our products, ensuring that they are scalable, reliable, and user-friendly. You will take ownership of the project deliverables and partner with product owners, engineering and data platform teams to design, build, test and automate products and applications that are relied upon across the company.

Job Duties/Essential Functions

• Develop and maintain high-quality Data applications using a variety of technologies and tools

• Development of data pipelines and tables for consolidation and standardization of data related, but not limited to, RL analytics use cases and data sources, as well as enablement of data transformation in a multi-DB construct, including but not limited to: Hive, ODS, MySQL/XDB, Scuba, in support of business unit and partner team’s objectives

• Development of visualizations, as a combination of new development and enhancements to existing dashboards, to support and enhance reporting on metrics and KPIs.

• Development and optimization of advanced analytics capabilities, including but not limited to predictive and resource optimization models, as prioritized with the team Project Manager.

• Proven and extensive experience of Python and C++ programming, data extraction and data manipulation.

• Wide experience and proficiency in various python libraries like SciPy, NumPy, PyTorch, Matplotlib, Pandas using Jupyter Notebook.

• Collaborate with product managers, developers, and other stakeholders to ensure that the APIs align with business requirements and technical specifications

• Works in tandem with data architects and BI engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration.

• Design, develop, & implement ETL/ELT processes using standard integration platforms

• Write clean, efficient, and well-documented code following best practices and standards

• Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.

• Strong understanding of CRUD principles and best practices.

• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery.

• Identifies ways to improve data reliability, efficiency and quality of data management.

• Communicates technical concepts to non-technical audiences both in written and verbal form.

• Performs peer reviews for other Engineer’s work.

• Regular and reliable workplace attendance at your assigned location.

Experience, Skills, Education & Licenses/Certifications Required:

• Overall 8+ yrs of IT experience in the information Industry

• 6+ years’ hands-on experience creating data applications and products.

• 5+ years’ experience engineering and deploying data pipelines with large and complex datasets.

• 4+ years of experience with server side languages like React, PHP, Javascript  and other front-end frameworks.

• 3+ years experience with design/building data pipelines using Python. Experience with implementing libraries and frameworks such as NumPy, SciPy, Matplotlib, Pandas and Keras.

• Experience with APIs and Restful services required.

• Experience in troubleshooting and debugging issues with the user interface.

• Familiarity with version control systems such as Git

• Experience building interactive dashboards using API’s.

• Extensive experience working with various data sources (SQL,Oracle database, flat files (csv, delimited), Web API, JSON.

• Experience with MYSQL, Hive and HiveQL

• Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).

• Able to work in a fast-paced agile development environment.

• Strong understanding of respon