Overview
The Big Data Engineer plays a crucial role in leveraging massive datasets to drive business advancements. Tasked with designing, implementing, and maintaining the architecture that allows for the processing and storage of valuable data, this individual ensures that data flows efficiently and seamlessly through the organization's systems. As a part of the data engineering team, the Big Data Engineer collaborates closely with data scientists, analysts, and IT professionals to transform raw data into actionable insights.
In today's data-driven landscape, the importance of a Big Data Engineer cannot be overstated. They are key in implementing data strategies, improving data quality, and enabling data-driven decision-making within the organization. With an emphasis on scalability, reliability, and optimizations, the engineer contributes significantly to the overall effectiveness of data management processes, thus positioning the organization at the forefront of the industry.
Key Responsibilities
Specialize in Big Data systems and ensure high-quality deliverables
🔹 Develop and enhance internal & third-party system components
🔹 Operate, monitor, and resolve issues in compute platforms (Windows, Linux, Cloud, Virtualization)
🔹 Work with databases (Oracle, SQL, NoSQL) and DevOps tools
🔹 Collaborate with engineering teams, stakeholders & business teams
🔹 Stay updated on new technologies and implement changes successfully
Skills Required:
✔ Big Data Systems expertise
✔ Strong knowledge of Cloud, DevOps, Scripting, Version Control
✔ Experience with Agile methodologies
✔ Solid understanding of networking, OS, and database management
✔ Strong stakeholder management & collaboration skills