Create and maintain optimal data pipeline architecture
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, etc.
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.
Work with data scientists to strive for greater functionality in our data systems.
Qualifications:
Experience building and optimizing big data data pipelines, architectures and data sets.
Strong analytic skills related to working with structured/unstructured datasets.
Build processes supporting data transformation, data structures, dimensional modelling, metadata, dependency, schema registration/evolution and workload management.
Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 4+ years of experience in a Data Engineer role. They should also have experience using the following software/tools:
Experience with big data tools: HDFS/S3, Spark/Flink, Hive, Hbase, Kafka/kanisis, 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."
Employement Category:
Employement Type: Full timeIndustry: IT - SoftwareRole Category: General / Other SoftwareFunctional Area: Not ApplicableRole/Responsibilies: Senior Data Engineer