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Senior Data Engineer
Tabby
Terryville, USA
Full-time
Senior · 3–5 years experience
Remote
Discovered 2 weeks ago
- 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; - Experience in developing high-load and scalable data processing and storage systems; - Good knowledge and background in event driving systems and streaming pipelines; - Python + best practice for Python; - SQL + best practice for SQL; - System design best practices; - Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, 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.
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Ready to ScanKey skills for this role
- 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; - Experience in developing high-load and scalable data processing and storage systems; - Good knowledge and background in event driving systems and streaming pipelines; - Python + best practice for Python; - SQL + best practice for SQL; - System design best practices; - Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, 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.
Key Skills for This Role
- 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; - Experience in developing high-load and scalable data processing and storage systems; - Good knowledge and background in event driving systems and streaming pipelines; - Python + best practice for Python; - SQL + best practice for SQL; - System design best practices; - Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, 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.
Full Job Posting
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 & Expertise:
3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer;
Experience in developing high-load and scalable data processing and storage systems;
Good knowledge and background in event driving systems and streaming pipelines;
Python + best practice for Python;
SQL + best practice for SQL;
System design best practices;
Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, 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.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
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