Data Engineer

İstanbul, Turkey
İlan Tarihi
19 / 11 / 2020
İstanbul, Turkey
Bilgi İşlem > Uzman / Kıdemli Uzman
Pozisyon Tipi
Nitelikler, İş Tanımı :

We are looking for an experienced “Data Engineer” with the following qualifications for our multinational client who is operating in automotive industry.


Bachelor`s Degree in Computer/Software/Industrial/Mathematics Engineering, or Statistics,
3+ years of professional work experience as a Data Engineer,
Experience in the complete life cycle of data warehouse projects, including functional/technical design, coding, and testing,
Experience on building complex data sets from multiple data sources, both internally and externally,
Strong knowledge of database management systems like SQL and big data frameworks, (Oracle, Microsoft SQL Server, etc.)
High proficiency in coding languages, including SQL,
Expertise in developing ETL/ELT workflows,
Experience on data visualization reporting architecture and BI tools (e.g. Tableau, Qlik sense, Power BI,Oracle OBI SAP BI/BW/BO, D3)
SAP on HANA, SAP 4/HANA, SAP BW experience is a plus,
Microsoft SSIS, SAP Data Services experience is a plus,
Great communication skills both in Turkish and English.

Job Description:

To help design, develop and build data infrastructure required for optimal extraction, transformation, loading of data from a wide variety of data sources that allow our key business units to thrive and grow,
Work as a Data Engineer on full-life cycle projects,
To provide creative solutions for data-related problems at scale by mixing in house and open source technologies,
To help build robust data pipelines and ETL tools,
To complete all assigned tasks/projects adhering to timelines and meeting all deadlines,
Prepare technical documentations and operational guidelines,
To find and evaluate new data sources for acquisition and integration,
Enable effective decision making by retrieving and aggregating data from multiple sources and extract information from complex data sets,
To turn raw data into features to be used in machine learning models,
To work with our engineering team on challenging projects.