The Data Analytics group’s mission is to empower client company with data through analysis, operational insights, strategic initiatives, and decision-making. We are looking for an experienced data engineer to join our Backend team. As a Data Engineer, you will be responsible for ELT data ingestion processes while building our new Cloud Data Lakehouse. You will own all functions related to our data warehouse: architecture, generation, storage, maintenance, preparation, enrichment, and cleansing. Your work will impact our business's success and growth.
To do well in this role, you must be technical and up to date with modern technology to re-design traditional data collection processes. You should have strong analytical skills, agile and with the ability to adjust between traditional and innovative data tools.
Responsibilities:- Handle technical design, development, optimization, monitoring, and governance of the ELT, data pipelines, and data Lakehouse.
- Develop complex ETL and stream Data Pipelines.
- Implement new technologies and data infrastructures.
- Explore ways to enhance data quality and reliability.
- Work closely with data analysts and Tableau developers to effectively model and build our DWH.
- Develop and maintain the master data layer.
- Adopt industry-leading technologies to support best-in-class business capabilities for high-performance computing and data storage solutions.
- 5+ years of experience in data engineering and ETL/ELT development in a DWH environment.
- Proficiency in SQL – a must.
- Experience with cloud DWH tools such as Snowflake & DBT - a must.
- Excellent understanding of DWH architecture, methodology and data modeling.
- Experience with troubleshooting and solving problems, strong analytical skills.
- Excellent communication skills with fluent English.
- Ability to work well independently and as part of an agile team.
- Data engineering certification is a plus.
- Experience with various cloud DWH tools.
- Additional programming languages, such as Python, R, Scala, Java.
- On-Prem environment experience with tools, such as, SSIS, SQL-Server, OLAP and Tabular.
- Experience in a global company.
- Direct cooperation with the already successful, long-term, and growing project.
- Flexible work arrangements.
- 20 days of vacation.
- Collaborative and supportive team culture.
- Truly competitive salary.
- Help and support from our caring HR team.
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