
High Impact Data Solutions Architect
1 week ago
Job Title: Data Architect
We are seeking an experienced Data Architect to design and implement scalable big data solutions using Hadoop, Hive, Apache Spark, Kafka, Scala, and Java.
The ideal candidate will have strong hands-on expertise with Hadoop, Hive, HDFS, Apache Spark, and Kafka, as well as solid object-oriented development experience with Scala and Java.
A deep understanding of ETL processes and data integration strategies is essential for this role. The successful candidate will also have a proven track record of mentoring or supporting junior engineers in a team setting.
Required Skills and Qualifications:- 8+ years of professional experience in big data development and engineering.
- Strong 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.
This is a highly rewarding role that offers opportunities for professional growth and development. Our company provides a competitive compensation package and a flexible working environment.
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