Posted:1 day ago|
Platform:
On-site
Full Time
This is a hands-on Data Platform Engineering role with a strong focus on consultative data engagements across business and technical teams. Responsibilities Design and implement resilient data pipelines for batch and real-time processing Work closely with product managers, engineers, analysts, and data scientists to deliver scalable data platforms Provide guidance on architecture, infrastructure, and implementation best practices Collaborate with architects and developers to define data structures, pipelines, and orchestration strategies Ensure data privacy, processing, modeling, analytics, AI integration, and API connectivity Embrace Agile principles for project execution Develop frameworks to solve data challenges at scale Technical Skills Required 3+ years in data engineering with experience in lakehouse implementations (Databricks, Snowflake, or Synapse) Hands-on with Azure data stack (Databricks, Synapse, ADF) and supporting services (Key Vault, Storage, Firewall) Proficient in SQL, Python, and Spark Familiar with tools like JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket Experience in Agile environments and familiarity with DBT and PowerBI is a plus
People Tech Group Inc
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