Nimble Gravity - Senior Data Engineer (US only)

Remote - US (Remote)3w ago

Remote Senior NA Cloud Computing Logistics Data Engineer Senior Data Engineer SQL Synapse Databricks Python Azure Event Hubs

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field. • Proven experience (5+ years) as a Data Engineer, with a focus on cloud-based solutions. • Strong expertise in Microsoft Azure, including hands-on experience with relevant services. • Data Platforms (Azure Databricks, Azure SQL Database and Azure Synapse Analytics) • Spark Programming (Python, PySpark and SparkSQL) • Orchestration and Automation (Azure Data Factory and Logic Apps) • Storage (Azure Data Storage Gen2) • Event Processing (Kafka and Azure Event Hubs) • Proficiency in data modeling, ETL/ELT processes, and data warehousing concepts. • Knowledge of SQL and NoSQL databases, along with data processing frameworks (e.g., Apache Spark). • Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues. • Strong leadership skills, with the ability to guide and mentor junior team members. • Relevant Microsoft Azure data certifications are a plus. • Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Responsibilities

• Design end-to-end data pipelines that efficiently collect, process, transform, and load data from various sources into our cloud environment. • Collaborate with data architects and other stakeholders to ensure the scalability, reliability, and performance of data pipelines. • Develop complex data transformation logic to prepare raw data for analysis and reporting purposes. • Build and optimize Extract, Transform, Load (ETL) processes to ensure data quality and integrity. • Collaborate with client stakeholders to understand data requirements and deliver actionable insights. • Lead a team of data engineers, providing technical guidance, mentorship, and fostering a culture of innovation and collaboration. • Stay current with the latest advancements in cloud technologies and data engineering practices.