Project lead – Python

WHAT WE OFFER:

Architect, develop, and maintain a highly scalable data warehouse and build/maintain ETL processes.
Utilize Python integrate several heterogeneous operational systems across the business into cloud based data warehouse
Integrate third party data like AI speech platform, customer contact platforms (like Five9, Avaya, Salesforce)
Responsible for High level & low-level Data flow design.
Collaborate in dimension model design and data layer for end user querying.
Co-ordinate with upstream system owners and downstream system owners to keep data warehouse implementation and changes in synch.
Lead, train and mentor a team of data engineers.

8+ years of experience in understanding of best practices for building and designing ETL code using python
Engineering/ Master’s Degree from a good Institute (preferably Computer Science or related)
Hands on with python programming language for data extraction and analysis from integration perspective.
Strong Intergradation experience with third party data like AI speech platform, customer contact platforms (like Five9, Avaya, Salesforce)
Strong Knowledge of the different storage solution like SFTP, S3, FTP etc..
Experience working as an ETL resource in a Data Engineering, Data Warehousing or Business Intelligence team
Understanding of data integration/data engineering architecture and should be aware of ETL standards, methodologies, guidelines and techniques
Familiar with different project management methods
Familiar with software development design patterns and apply them in software design.
Strong understanding of SQL queries, aggregate functions, Complex joins and performance tuning
Should have good exposure of Databases like Redshift/Snowflake/SQL Server/Oracle/PostgreSQL (any one of these)
Broad understanding of data warehousing and dimensional modelling concepts