As a Senior Data Engineer@Dapter, you will develop, optimize, and maintain the ETL data pipeline.
Requirements:
▪️ 4+ years of development experience in data engineering;
▪️ 2+ years of professional experience working in big data ecosystems, preference for Spark;
▪️ 2+ years of professional experience working with data flow management tools, such as Airflow;
▪️ 2+ years experience working with Pentaho (or equivalent tools such as Talend, DataStage, and Informatica)2Hands-on scripting experience with Python, Scala, and/or shell scripting;
▪️ Preference for development experience in highly scalable, distributed systems and cluster architectures (e.g. AWS, Azure, Google Cloud, etc);
▪️ Familiarity with complex NoSQL databases (e.g. DynamoDB, Cassandra, Elasticsearch, etc);
▪️ Prior experience working with large data sets (>1M+ records);
▪️ B.S. preferred in Computer Science, Information Systems, or related fields (foreign education equivalent accepted).
🚩Send your CV to: [email protected]