Posted:1 month ago|
Platform:
Work from Office
Full Time
Roles and Responsibilities: You will work with the team to understand the requirements and design and develop algorithms engines rules using Python . You will use BiqQuery as the backend, you will utilize not only generic SQL/DB entities and operations but also BQ specific operations as well. You will be writing bash / powershell scripts. You will develop APIs using the Flask framework and implement data ingestion pipelines to handle large volumes of data from various upstream sources You will implement unit tests to ensure code reliability and maintainability. You will analyze system issues and debug/track/resolve them effectively.. Experience needed: 7+ years experience writing, debugging, and troubleshooting code in mainstream Python 7+ years of experience in writing PL/SQL stored procedures, functions and triggers 5+ years of experience in developing applications using web frameworks such as Flask. 5+ years experience deploying and releasing software using Jenkins and CI/CD pipelines. 3+ years of experience in data handling, management and ETL processes. 3+ years Experience with data extraction using API calls. 1+ Experience with big data processing solutions using BigQuery, PubSub, GCS and others. Proficiency in using source code control management systems like Github Any experience with Angular will be added advantage Any experience with Lookerstudio will be added advantage Open Date: Feb-07-2025
Sails Software Solutions
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Practice Python coding challenges to boost your skills
Start Practicing Python Now4.0 - 8.0 Lacs P.A.
Bengaluru
4.0 - 9.0 Lacs P.A.
Mumbai
3.0 - 7.0 Lacs P.A.
8.0 - 10.0 Lacs P.A.
Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru
25.0 - 30.0 Lacs P.A.
Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru
3.0 - 6.0 Lacs P.A.
Hyderabad
2.0 - 6.0 Lacs P.A.
9.0 - 14.0 Lacs P.A.
Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru
6.0 - 10.0 Lacs P.A.
11.0 - 15.0 Lacs P.A.