Description

You will design, build, and maintain data delivery architecture and integration workflows for data science and analytics initiatives.

This role is on-site.

Responsibilities

• Drive technical design and requirements for integration workflows to ensure builds meet specifications.
• Build and maintain ETL/ELT pipelines using Azure technologies to ingest data from diverse sources.
• Construct enterprise-level integrations using Snowflake, Azure Synapse, and SQL Server.
• Automate manual processes and redesign infrastructure to improve scalability and data delivery.
• Troubleshoot incidents and perform root-cause analysis to implement permanent resolutions.

Required Skills

• 5+ years of data engineering experience with Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, and Apache Spark.
• 5+ years of experience writing and optimizing SQL queries against RDBMS.
• Proficiency in scripting with Python, Scala, Java, PowerShell, or XML.
• Experience structuring Data Lakes for reliability, security, and performance.
• Proven track record implementing ETL for Data Warehouse and Business Intelligence solutions.
• Strong understanding of DevOps processes, including CI/CD and Infrastructure as Code fundamentals.
• Experience working within Agile teams and following software change and release management protocols.

Preferred Skills

• Experience managing integrations between Oracle, Concur, JD E, and Corporate Data Platforms.

Key Skills

Education

Bachelor's degree