
Chief Data Architect
1 week ago
Job Overview
A data engineer is responsible for designing, developing, and maintaining the architecture that stores and processes data.
Main Responsibilities
- Create optimal data pipeline architectures to ensure efficient data flow and processing.
- Implement internal process improvements by automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Built infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and big data technologies.
- Create data tools for analytics and data science teams to assist them in building and optimizing products.
- Collaborate with data scientists to strive for greater functionality in data systems.
Mandatory Qualifications
- Proficiency in either Scala or Python, expertise in Spark, and experience with performance tuning and optimization.
- DBT is mandatory for this position.
- 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 cloud services.
- Experience with stream-processing systems: Spark-Streaming/Flink, etc.
- Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
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