Data Engineer (Data Service Team)
- Remote
- 1 year ago
- Confidential
- Permanent
- Full time
Job Description
-
Date Posted:
1 year ago -
Location:
Remote -
Offered Salary:
Confidential -
Gender:
Any -
Headcount:
1 -
Industry:
Engineering - Others -
Visa Preference:
Emp Visa - Holders -
Joining Timeline:
15 - 30 Days, 10 - 15 Days, Immediate
Job Description
Department: Data Platform
Employment Type: Full Time
Location: Remote
Description:
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 for the Data Services Team who will help us create our internal solutions such as a Feature Store and will be ready to perform operational tasks.
Key Responsibilities
- Development Features store and other future data services;
- Development EL / ELT / ETL pipelines;
- Integration new tools for data processing and data storing;
Skills, Knowledge And Expertise
- 3+ years of experience as Data Engineer;
- Experience in developing high-load and scalable data processing and storage systems;
- Good knowledge and background in event driving systems;
- Good Python3 knowledge + best practice for Python;
- Good knowledge of SQL + best practice for SQL;
- Good knowledge of system design best practices;
- Familiar with tech stack as Airflow, Debezium, BigQuery, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP;
- REST API / GRPC API / Message brokers & Queues.
Bonus Skills
- GO development experience;
- 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!
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