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Data Engineer

2 months ago

hyderabad, India Insight Global Full time
6 month contract to hire
remote to start then 3 days onsite
Immediate joiner
MUST HAVES:
Experience with Databricks, SQL, and python
Experience with the cloud - can be AWS or Azure
Excellent communication, independent thinker, positive attitude
Experience with snowflake, powerBI, Click or Tableau
Experience with Data visualization tools/modeling etc.
Technical knowledge of data systems and curiosity to solve business problems.
PLUSSES:
Growth mindset/someone who is keeping themselves well versed.
Experience with AI
Day to Day:
This Analytics Engineer will bridge the gap between business and technical teams by creating trusted, scalable, and efficient data models and products. A successful Analytics Engineer can combine his/her technical expertise with business acumen to deliver actionable insights. They will be working collaboratively and independently. Currently the team is working on Sales efficiency projects and financial PowerBI/data modeling projects. They utilize AWS and Databricks in their current environment. This role is with the end client ModMed, and is a 6 month contract to hire role. During the 1st 6 months you will be working remote, and once you convert full-time with ModMed you will be expected to go into the Hyderabad ModMed office three times a week.
Responsibilities
As a team member responsible for helping to blend business-critical data needs with technical solutions, the Analytics Engineer role requires acumen in both domains.
Collect business requirements and design highly optimized data models.
Identify performance metrics definition and automation opportunities.
Build trust through data conversion to data stories for internal and external consumption.
Serve as the subject matter expert for the Enterprise Data Model
Design, develop, and extend dbt code to enhance the Enterprise Dimensional Model.
Create and maintain architecture and systems documentation.
Provide cross-team support for CRM and Marketing teams.
Assist with complex data analysis tasks.
Implement the DataOps philosophy in everything you do.
Create enterprise-grade reporting/data visualization solutions.