We are hiring for Data Engineering folks for our Retail Analytics team. Below the JD for your quick reference.

Experience: 3-5 years

Some one who can join immediately to fill in the requirements.

Skills:

-Specific areas of expertise Experience in Airflow is a must
-Design, implement, and launch efficient and reliable data pipelines
-Workflow orchestration, expertise in data modeling, ETL and data warehousing
-Python Git, Jenkins, SQL, Google Composer, Airflow, PySpark, DataProc

Roles & Responsibilities:
- Apply strong technical skills in a data engineering team building industry-leading technology
- Embrace an active team role to help design, implement, and launch efficient and reliable data pipelines
- Create data architecture that is flexible, scalable, and consistent for cross-functional use
- Build industry-leading tools to increase productivity of Data Analysts, Data Scientists and Marketers
- Validate Data Engineering business data elements, organizational and business intelligence architecture designs for engineering functional areas from Dashboards, Data Lakes, Data Ops, ML - AI, and upstream output processes

About Ugam
Ugam, a Merkle company, is a leading next-generation analytics company helping B2B and B2C enterprises make superior decisions. Ugams
customer-centric approach blends data, technology, and experts, resulting in impactful and long-tenured relationships with more than 75
Fortune 500 companies. The company offers a comprehensive set of IP-led analytics, digital solutions, and proven AI / ML capabilities applied
across verticals. Visit us at www.ugamsolutions.com, follow us on Twitter @ugam, and visit our LinkedIn page.