
Principal Big Data Architect
2 days ago
We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining large-scale data pipelines and architectures.
The ideal candidate will have experience with big data tools such as HDFS/S3, Spark/Flink, Hive, HBase, Kafka/Kinesis, etc. They should also be proficient in relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
In addition, the candidate should have experience with data pipeline and workflow management tools such as Azkaban, Luigi, Airflow, etc., and cloud services like AWS/GCP.
Required Skills and Qualifications
- Programming Language: Scala or Python (with expertise in writing data pipelines and transformations)
- Big Data Framework: Apache Spark (with hands-on expertise in writing Spark jobs and tuning them for better performance)
- Performance Tuning & Optimization: Ability to handle large datasets efficiently and optimize Spark jobs (partitions, shuffles, caching, memory usage, etc.)
- DBT (Data Build Tool): Hands-on experience with dbt for data transformations and data modeling
Benefits
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
The successful candidate will work closely with cross-functional teams in a dynamic environment.
We value diversity and inclusion in the workplace and welcome applications from candidates of all backgrounds.
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