About this role
The team is seeking a Senior Data Engineer to join their team. The ideal candidate will have a strong background in Big Data platforms and a passion for solving complex data challenges.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Big Data technologies.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize data processing workflows and ensure data quality and integrity.
- Implement and manage data storage solutions using Hadoop ecosystem tools such as Spark, HDFS, Hive, and Kafka.
- Troubleshoot and resolve data-related issues in a timely manner.
Required Skills & Qualifications:
- Bachelor’s Degree in Computer Science, Computer Engineering, or a related technical field; Master’s Degree preferred.
- 4-6 years of total experience, with at least 2 years of relevant experience in Big Data platforms.
- Strong experience with the Hadoop ecosystem, including Spark, HDFS, Hive, Sqoop, Hudi, Parquet, Apache NiFi, and Kafka.
- Proficiency in Scala/Spark; experience with Python is a plus.
- Excellent analytical, problem-solving, and communication skills.
What we offer:
- A dynamic work environment with opportunities for professional growth.
- The chance to work on cutting-edge technologies and innovative projects.
- Collaborative team culture and a commitment to work-life balance.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.