Data Engineer

Responsibilties:

● Data Warehouse/Data Lake Architecture and Development
● Databricks [Azure/AWS] (SQL, Python, Spark)
● Data Modeling & Architecture
● Experience on Cloud Solutions (both AWS & Azure)
● ETL/ELT Pipelines [Fivetran, Data Factory, Synapse]
● Non-Relational Database experience (Mongo DB, Cosmos DB, Document DB, Graph
DB, etc.)
● AI/ML experience (Jupiter&/Python)
● API/Embedded experience
● Expertise in SQL, Python & Scala
● Data prep
● Delta Sharing
● Power BI Modelling & Visualization

Required Skills and Experience:

● 8-10 Years Overall experience and 4-5 years if Relevant experience in Cloud-based Data
Solution
● Experience leading a technical team.
● Moderate experience with client engagement & aligning others to your
ideas/solutions.
● Ability to clarify/translate customer requirements into Epics/Stories & remove
ambiguity.
● Ability to mentor other team members.
● Ability to present to groups of mixed technical ability.
● Participate in & facilitate interviews of future DE teammates.
● Performs other duties as assigned.
● Understanding of core business intelligence (BI)/data warehousing technology: RDBMS,
Web,Client/ Server.