![Building A Digital PR Strategy: 10 Essential Steps for Beginners [With Examples]](https://buzzsumo.com/wp-content/uploads/2023/09/Building-A-Digital-PR-Strategy-10-Essential-Steps-for-Beginners-With-Examples-bblog-masthead.jpg)
![How Human Behavior Impacts Your Marketing Strategy [Video]](https://contentmarketinginstitute.com/wp-content/uploads/2025/03/human-behavior-impacts-marketing-strategy-cover-600x330.png?#)
![How to Make a Content Calendar You’ll Actually Use [Templates Included]](https://marketinginsidergroup.com/wp-content/uploads/2022/06/content-calendar-templates-2025-300x169.jpg?#)
![How to Use GA4 to Track Social Media Traffic: 6 Questions, Answers and Insights [VIDEO]](https://www.orbitmedia.com/wp-content/uploads/2023/06/ab-testing.png)
Big Data Engineer
A company is looking for a Big Data Engineer III to design, develop, and implement big data solutions. Key Responsibilities Design, develop, and implement scalable big data solutions using Hadoop, Spark, Java, Python, and SQL Enhance data architecture and optimize complex SQL queries for efficient data flow and storage Lead and mentor junior team members while collaborating with cross-functional teams to align data initiatives with business objectives Required Qualifications Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree preferred 5+ years of experience in big data engineering, preferably in the fintech or banking industry Strong expertise in ETL tools, Apache Spark, Java, and Python Proficiency with Azure environment components, including data functions and Synapse Proven ability to manage Big Data distributed systems and lead software development projects
A company is looking for a Big Data Engineer III to design, develop, and implement big data solutions.
Key Responsibilities
Design, develop, and implement scalable big data solutions using Hadoop, Spark, Java, Python, and SQL
Enhance data architecture and optimize complex SQL queries for efficient data flow and storage
Lead and mentor junior team members while collaborating with cross-functional teams to align data initiatives with business objectives
Required Qualifications
Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree preferred
5+ years of experience in big data engineering, preferably in the fintech or banking industry
Strong expertise in ETL tools, Apache Spark, Java, and Python
Proficiency with Azure environment components, including data functions and Synapse
Proven ability to manage Big Data distributed systems and lead software development projects