Description

You will design and maintain the data lake and warehouse to enable decision support systems and drive business growth.

This role is remote.

Responsibilities

• Design and maintain ETL pipelines to ingest data into the data warehouse and data lake.
• Partner with stakeholders to define requirements and deliver scalable end-to-end data solutions.
• Build and maintain dashboards and reports using Microsoft Power BI.
• Cleanse and transform large datasets using Azure Data Factory, Spark, and Azure Databricks.
• Define and enforce SLAs to ensure data reliability and performance.

Required Skills

• 8+ years of experience in data engineering.
• Strong proficiency in SQL and Python.
• Deep understanding of data modeling, ETL processes, data warehousing, and data lake architecture.
• Hands-on experience with Microsoft Power BI for dashboarding and reporting.
• Proficiency in Azure Data Factory for data transformation and orchestration.
• Experience working with Spark and Azure Databricks in distributed environments.
• Familiarity with NoSQL databases such as Cosmos DB and MongoDB.

Preferred Skills

• Experience with Mulesoft, Kingswaysoft, or Marketo.
• Familiarity with JavaScript or PySpark scripting.

Key Skills

Education

Any Gradute