DATA ENGINEER (IS-557)

Endava


**Responsibilities**: - Design and implement Data architectures on cloud or on-premises. - Develop logical data models for OLTP and OLAP processing. - Develop data pipelines for extracting, cleansing, transforming, and enhancing data. - Discovers and elicits business and data requirements. - Team-oriented attitude and the ability to work well with others to achieve a common goal. - Open to working in an agile environment as part of a scrum team. - The ability to take the initiative, drive the project and innovate. - Having a proactive attitude towards solving problems. - Good client-facing skills. **Qualifications and Experience**: - Strong experience with Python and pyspark. - Strong SQL and scripting experience. - Experience implementing ELT process and Data pipelines. - Experience in data modeling (normalized and multidimensional). - Background and experience with cloud data technologies and tools. - Familiar with distributed computing environments. - Familiar with data tools and technologies like: - BigQuery, Redshift, Snowflake, other Data warehouse tools - Spark, Hadoop, Apache beam, Dataproc or similar. - Real time pipelines with Kinesis or Kafka. - Batch processing. - Serverless processing. - Good leadership and communications skills. - English B1+

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