Data Engineer (Remote)
Data Infrastructure Specialist Primary Purpose: Build and maintain the data infrastructure that enables organizations to effectively harness their data. Core Mission: Design, construct, and optimize data pipelines to ensure seamless data collection, processing, and delivery.
Core Responsibilities:
Build, deploy, and optimize scalable data pipelines and cloud data solutions.
Handle end-to-end data ingestion, transformation, integration, and troubleshooting.
Work extensively on data warehousing initiatives.
Ensure optimal data quality, reliability, and performance across all systems.
Technical Requirements & Tech Stack:
Primary Tech Stack: Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure SQL Database.
Azure Databricks: Strong, hands-on expertise required.
PySpark & SQL: Intermediate proficiency required.
ADF & ADLS:
Basic proficiency required. Added Advantages (Nice-to-Haves): Python scripting, DevOps practices, and CPG/Retail domain knowledge.
Soft Skills & Logistics:
Client Engagement: Strong communication and collaboration skills for interacting directly with clients.
Candidate Profile: Quick learner with strong analytical skills.
Work Location: Remote.