
Strategic Big Data Solutions Developer
1 week ago
As a senior big data engineer, you will be responsible for leading the development of scalable and efficient big data solutions using Hadoop, Spark, Hive, HDFS, and Kafka. You will work closely with junior engineers to guide them on coding standards, best practices, debugging, and project execution.
Key Responsibilities:
- Perform hands-on big data development work, including coding, testing, troubleshooting, and deploying solutions.
- Support ongoing client projects, addressing technical challenges and ensuring smooth delivery.
- Collaborate with junior engineers to guide them on coding standards, best practices, debugging, and project execution.
- Review code and provide feedback to junior engineers to maintain high-quality and scalable solutions.
Required Skills and Qualifications:
- 8+ years of professional experience in big data development and engineering.
- Strong hands-on expertise with Hadoop, Hive, HDFS, Apache Spark, and Kafka.
- Solid object-oriented development experience with Scala and Java.
- Strong SQL skills with experience working with large data sets.
- Practical experience designing, installing, configuring, and supporting big data clusters.
- Deep understanding of ETL processes and data integration strategies.
- Proven experience mentoring or supporting junior engineers in a team setting.
- Strong problem-solving, troubleshooting, and analytical skills.
- Excellent communication and interpersonal skills.
What We Offer:
- Opportunity to work on challenging, high-impact big data projects.
- Leadership role in shaping and mentoring the next generation of engineers.
- Supportive and collaborative team culture.
- Flexible working environment.
- Competitive compensation and professional growth opportunities.
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