Gathi Analytics at GeoSmart India 2019

Gathi Analytics presented @ GeoSmart India 2019 on the topic Smart services for Smart Cities.Vinit Reddy, Director of Innovation presented the Smart City Platform (SEP), explaining the ease at which cities can adopt to and benefit from the platform.

#geosmartindia2019 #smartcities


Gathi Analytics featured in CIO Review EdTech Special Edition.

“Our ‘Unique 8,8,8 Engagement Model’ is enabling Businesses to stay ahead of the Curve. The Modern Data Platform helps take an organized approach to the enormous data distributed over disparate systems”.

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Sr Data Engineer (Python AWS)

San Antonio, TX & Columbia SC

Location Experience
San Antonio, TX & Columbia SC 10 years

Gathi Analytics is a relentlessly client focused group who builds ground-breaking data solutions for Smart Cities, Payment Services, Healthcare, Finance, and so much more. Gathi Analytics leverages proprietary frameworks and methodologies to deliver solutions faster, without compromising quality. We help our clients gain data insights they never thought possible and understand their data assets in ways they never could before. If this sounds like you, please read on.


About the Sr Data Engineer Role

The Senior Data Engineer will participate as the technical lead, translating business needs into analytics/reporting requirements, and interfacing with internal team members and clients to ensure successful delivery of client applications. Provide design oversight and serve as technical escalation point for the development, implementation and support of business intelligence and analytics solution. Provide SME knowledge, technical planning expertise in the areas of Python, MicroStrategy Architecture, solution design and development, performance tuning/optimization, testing, implementation. This role will define work plans, organizes work for teams and drive SDLC deliverables. Will provide day to day technical direction and monitor team’s technical delivery output, reporting back to management on progress and issues, resolving problems, etc.



  • Design, build, and maintain efficient, reusable, and reliable Python code.
  • Development of applications and their integration with back-end services.
  • Should be able to customize and maintain for enterprise environment.
  • Design and implement software platform with Microservices Architecture, based on Docker’s Ecosystem.
  • Integration of data storage solutions {{may include databases, key-value stores, blob stores, etc.}}.
  • Integration with various of monitoring backend tools.
  • Identify bottlenecks and bugs, and devise solutions to these problems.
  • Help maintain code quality, organization, and automatization.
  • Participate in early product demonstrations to customers.



  • Bachelor’s Degree or master’s degree in Computer Science, Mathematics, Statistics.
  • Experience in Connecting to Databases, Multithreading, and connection pooling etc.
  • Should be able to do programming in Python, Django, and SQL.
  • Expertise in writing and reviewing good code quality using SONAR, Pylint etc.
  • Knowledge of the entire Python ecosystem including JENKINS, SONAR, GIT, bitbucket, CI/CD etc.
  • Experienced in data warehousing and big data implementations (Cloudera- Hive, Hadoop) and technologies is a plus!
  • Good understanding of the syntax of Python and its nuances.
  • Solid understanding of object-oriented programming.
  • A knack for writing clean, readable Python code.
  • Ability to integrate multiple data sources and databases into one system
  • Ability to understand monitoring metrics, such as CPU, Memory, Disk Space, Network latency.
  • Understanding of fundamental design principles behind a scalable application.
  • Able to create database schemas that represent and support business processes.
  • Able to implement automated testing platforms and unit tests.


If this role sounds like you, we invite you to apply. Our recruiting team will be in touch shortly with qualified candidates regarding next steps.

Gathi Analytics is an equal opportunity employer and provides opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity, marital status, age, genetic information, disability, veteran-status, or any other characteristic protected under applicable Federal, state, or local law.

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