Senior Data Engineer – Azure

You Will:

• Design and build resilient and efficient data pipelines for batch and real-time streaming 
• Architect and design data infrastructure on cloud using Infrastructure-as-Code tools.  
• Collaborate with product managers, software engineers, data analysts, and data scientists to build scalable and data-driven platforms and tools. 
• Provide technical product expertise, advise on deployment architectures, and handle in-depth technical questions around data infrastructure, PaaS services, design patterns and implementation approaches.  
• Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities  
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations. 
• Lead a team of engineers to deliver impactful results at scale. 
• Execute projects with an Agile mindset. 
• Build software frameworks to solve data problems at scale. 

Technical Requirements:

• 7+ years of data engineering experience leading implementations of large-scale lakehouses on Databricks, Snowflake, or Synapse. Prior experience using DBT and PowerBI will be a plus.  
• 3+ years' experience architecting solutions for developing data pipelines from structured, unstructured sources for batch and realtime workloads.  
• Extensive experience with Azure data services (Databricks, Synapse, ADF) and related azure infrastructure services like firewall, storage, key vault etc. is required.  
• Strong programming / scripting experience using SQL and python and Spark. 
• Strong Data Modeling, Data lakehouse concepts.  
• Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket. 
• Experience with Agile development methods in data-oriented projects 

Other Requirements:

• Highly motivated self-starter and team player and demonstrated success in prior roles. 
• Track record of success working through technical challenges within enterprise organizations 
• Ability to prioritize deals, training, and initiatives through highly effective time management 
• Excellent problem solving, analytical, presentation, and whiteboarding skills 
• Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems 
• Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations 
• Certifications on Azure Data Engineering and related technologies.