Senior Data Engineer

Job not on LinkedIn

🕒 September 28

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nimble Gravity

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Nimble Gravity is a company specializing in AI acceleration and automation services, leveraging cutting-edge data science, generative AI, and digital technologies to transform business challenges into growth opportunities. They provide a comprehensive suite of services, including predictive and prescriptive analytics, digital transformation strategies, software engineering, e-commerce solutions, and CRM optimization, particularly using Salesforce. Nimble Gravity is known for creating AI-powered solutions such as automated generative AI agents and data-driven e-commerce strategies, helping businesses accelerate their digital transformation and improve decision making.

📋 Description

• Design end-to-end data pipelines that collect, process, transform, and load data from various sources into the cloud environment • Collaborate with data architects and stakeholders to ensure pipeline scalability, reliability, and performance • Develop complex data transformation logic for analysis and reporting • Build and optimize 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 by providing technical guidance and mentorship • Stay current with cloud technology and data engineering advancements

🎯 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 • Experience with Azure Databricks, Azure SQL Database, and Azure Synapse Analytics • Experience with Python, PySpark, and SparkSQL • Experience with Azure Data Factory and Logic Apps • Experience with Azure Data Storage Gen2 • Experience with Kafka and Azure Event Hubs • Proficiency in data modeling, ETL/ELT processes, and data warehousing concepts • Knowledge of SQL and NoSQL databases and data processing frameworks such as Apache Spark • Excellent problem-solving skills and ability to troubleshoot complex data engineering issues • Strong leadership skills, with ability to guide and mentor junior team members • Relevant Microsoft Azure data certifications are a plus • Must be eligible to work in the United States; Nimble Gravity does not sponsor H1B visas