Key Responsibilities:
Advanced data Optimization: Design and implement sophisticated optimization strategies for database queries and data pipelines.
Bridge Between data DevOps: Collaborate with DevOps to ensure smooth deployment, monitoring, and scaling of data systems.
Leadership Mentorship: Provide technical leadership and guidance to less experienced engineers, helping them enhance their strategic and technical skills.
Cross-Functional Collaboration: Work closely with product teams, DevOps, and other stakeholders to align data initiatives with broader business goals.
Scalability Reliability: Ensure that our data architectures can handle large-scale, Real-Time data flows efficiently and reliably.
Requirements: Requirements Technologies:
Below are some of the technologies we use. Direct experience with each is not mandatory, but you should be comfortable adopting new tools within these categories:
Databases Streaming: SQL, MongoDB, Redis, PubSub, ClickHouse, Elasticsearch, BigQuery
data Pipeline Tools: Airflow, Luigi, Azkaban, dbt
Languages: TypeScript, Python, JAVA
Infrastructure: Cloud platforms (e.g., GCP), CI/CD, Git GitHub, Kubernetes (in coordination with DevOps)
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