Data Engineer
4 weeks ago
We are looking for Data Engineer with 3-7+ years of experience in production environment.
Must Have
- Spark Developer with experience in large scale production deployment, data pipeline and large scale computation.
- Experience in using programming languages such as Scala, Python (PySpark) to mine and query data for analysis and sometimes use big data SQL engines.
- Develop data set processes for data modeling, mining and production.
- Create Scala/Spark jobs for data transformation and aggregation.
- Working experience with AWS services such as EMR, Athena, Glue, Redshift and Lambda.
- Experience in developing and deploying Databricks jobs with knowledge in optimizing cluster
configurations.
- Responsible for the maintenance, improvement, cleaning, and manipulation of data in the
business operational and analytics databases.
- Defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.
- Designing and developing scalable ETL packages from the business source systems and the development of ETL routines in order to populate databases from sources and also to create aggregates.
Nice to Have
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.
- Experience with Apache Spark streaming and batch framework.
- Experience with Kafka, Storm, Zookeeper.
- Spark query tuning and performance optimization.
- Produce unit tests for Spark transformations and helper methods.
- Recommend ways to improve data reliability, efficiency and quality.
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