
Senior Big Data Engineer
16 hours ago
Are you a skilled developer seeking a challenging role in the field of big data?
- This position is ideal for a talented individual who thrives in a fast-paced technical environment and is passionate about mentoring and developing the next generation of engineers.
You will work on high-impact big data projects, provide technical support, contribute to solution delivery, and serve as a go-to technical mentor for less experienced team members.
Key Responsibilities:- Perform hands-on big data development work, including coding, testing, troubleshooting, and deploying solutions using Hadoop, Spark, Hive, HDFS, and Kafka.
- 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.
- Assist in designing and implementing solutions using object-oriented development principles, particularly with Scala and Java.
- Translate complex requirements into clear, actionable technical tasks for the team.
- Contribute to the development of ETL processes for integrating data from various sources.
- Document technical approaches, best practices, and workflows for knowledge sharing within the team.
- 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.
- Professional certifications in big data technologies (Cloudera, Databricks, AWS Big Data Specialty, etc.).
- Experience with cloud big data platforms (AWS EMR, Azure HDInsight, or GCP Dataproc).
- Exposure to Agile or DevOps practices in big data project environments.
- Opportunity to work on 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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