3+ years of experience as a Data Engineer, Proficiency in DWH development and maintenance, Strong knowledge of Python and SQL best practices, Familiarity with cloud technologies and data governance tools..
Key responsabilities:
Develop DWH for business users, analysts, and ML engineers
Synchronize data between internal and external systems
Create EL/ELT/ETL pipelines for data collection
Integrate new tools for data governance and optimize costs.
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over four million active users choose Tabby to stay in control of their spending and make the most out of their money.
Over 15,000 global brands and small businesses, including H&M, Adidas, IKEA, SHEIN, noon, and Amazon’s use Tabby’s technology to accelerate growth and gain loyal customers by offering flexible payments online and in stores. Tabby is active in Saudi Arabia, UAE and Kuwait, and is valued at $660 million in its latest round of funding from Sequoia Capital India, STV, PayPal Ventures, Mubadala Investment Capital, Arbor Ventures, and Endeavor Catalyst.
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 5,000,000 active users choose Tabby to stay in control of their spending and make the most out of their money.
Over 30,000 global brands and small businesses, including H&M, Adidas, IKEA, SHEIN, noon, and Bloomingdale’s, use Tabby’s technology to accelerate growth and gain loyal customers by offering flexible payments online and in stores. Tabby is active in Saudi Arabia, UAE, Egypt and Kuwait and backed by leading investors, including Sequoia Capital India, STV, PayPal Ventures, Mubadala Investment Capital, Arbor Ventures and others.
We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.
Key Responsibilities
DWH development for Business Users, Analysts and ML Engineers;
Data synchronization between internal and external systems;
Development tools for collecting data into DWH;
Development EL / ELT / ETL pipelines;
Integration new tools and practices for data governance and data quality;
Costs optimization.
Skills, Knowledge and Expertise
3+ years of experience as a Data Engineer;
DWH development and maintenance experience;
Architecture: Kimball, Inmon, Medallion;
Data modeling: SCD forms, Normal forms, Star Schema, Data Vault;
Good knowledges of Python + best practice for Python;
Good knowledges of SQL + best practice for SQL;
Good knowledge of system design best practices;
Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab(CI/CD), GCP;
Best practice for data processing and data storing.
REST API / GRPC API / Message brokers & Queues;
Experience on modern systems of data storing: Relational, MPP, NoSQL;
Experience on Google Cloud Platform.
Benefits
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in company’s employee stock options program.
Health Insurance
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).
If this sounds exciting to you, we’d love to hear from you!
Required profile
Experience
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.