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ModMed - Senior Data Analytics Engineer - SQL / Python

ModMed - Senior Data Analytics Engineer - SQL / Python

ModMed Technologies India Private LimitedHyderabad
30+ days ago
Job description

Analytics Engineers :

Analytics Engineers 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.

Your Role :

  • 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.
  • Manage Databricks work space.

Skills & Requirements :

  • Experience with cloud platforms such as Azure or AWS is a Mandatory (Databricks strongly preferred)
  • Technical knowledge of data systems and curiosity to solve business problems.
  • Understanding and curiosity about data products utilizing Gen AI.
  • Track record with optimal data model development to drive business insights (experience with dbt cloud strongly preferred)
  • Knowledge of programming languages such as Python and SQL is Mandatory.
  • Demonstrated experience with one or more of the following business subject areas : marketing, finance, sales, product, customer success, customer support, engineering, or people.
  • Experience with extracting and transforming data from cloud-native sources (Salesforce, NetSuite)
  • 5+ years in the Data space as an analyst, engineer, scientist, or equivalent
  • 2+ years managing / building data visualization solutions
  • (ref : hirist.tech)

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