
Big Data Systems Engineer
20 hours ago
The role of a data engineer is critical in the analytics industry. You will be responsible for designing, building, and maintaining large-scale data systems to support business intelligence.
Key Responsibilities:
- Design and implement scalable data pipelines using big data technologies such as Apache Spark and Hadoop.
- Develop and maintain high-quality code using programming languages like Python and Scala.
- Work closely with data scientists and analysts to understand their needs and deliver solutions that meet those needs.
- Collaborate with cross-functional teams to ensure seamless integration of data systems with other applications.
- Troubleshoot and resolve complex technical issues in data systems.
- Stay up-to-date with the latest advancements in big data technologies and apply them to improve existing systems.
Requirements:
- Bachelor's or master's degree in Computer Science, Information Technology, or related field.
- 5+ years of experience as a data engineer in Big Data.
- Strong knowledge of programming languages (Python/Scala) and big data technologies (Spark/Databricks).
- Experience in executing complex data analysis and running complex SQL/Spark queries.
- Strong experience in building complex data transformations in SQL/Spark.
- Strong knowledge of database technologies.
- Good understanding and experience with Agile methodologies and delivery.
- Strong communication skills with the ability to build partnerships with stakeholders.
- Strong analytical, data management, and problem-solving skills.
What We Offer:
- A chance to work with a talented team of engineers and scientists on cutting-edge projects.
- The opportunity to grow your skills and expertise in big data technologies.
- A collaborative and dynamic work environment.
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