
Big Data Systems Engineer
11 hours ago
Job Title:
Data Engineering Specialist
About the Role:
We are seeking a highly skilled Data Engineering Specialist to join our team. The ideal candidate will have a strong background in data engineering and experience with designing, building, and maintaining large-scale data systems.
Key Responsibilities:
- Create and maintain events/streaming based architecture/design
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Mandatory Qualifications:
- Proficiency in either Scala or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is also mandatory.
- Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.
- Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS /GCP cloud services
- Experience with stream-processing systems: Spark-Streaming/Flink etc.
- Experience with object-oriented/object function scripting languages: Java, Scala, etc.
Benefits:
- Strong analytic skills related to working with structured/unstructured datasets.
- Build processes supporting data transformation, data structures, dimensional modeling, metadata, dependency, schema registration/evolution and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Other Requirements:
- Experience supporting and working with cross-functional teams in a dynamic environment
- Have a few weekend side projects up on GitHub
- Have contributed to an open-source project
- Have worked at a product company
- Have a working knowledge of a backend programming language
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