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Описание вакансии
Lead Data Engineer
#удаленка #lead
Company: Zora
Salary: $185k - $225k
🔹Required:
-7+ years of experience in data engineering, with at least 2 years in a technical leadership role
-Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
-Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
-Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
-Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
-Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
-Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
-Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design
🔹Highly Desirable:
-Familiarity with DeFi, trading platforms, or financial systems and understanding of concepts like liquidity, orderbooks, and market dynamics
-Experience working with blockchain data (e.g. event logs, on-chain indexing) and EVM-compatible chains (Ethereum, Base, etc.)
-Experience with dbt (macros, incremental models, canonical modeling, and schema management) for large-scale data systems.
-Experience with Dune Analytics for querying and visualizing blockchain data.
-Experience with streaming data and event-driven architectures using tools like Kafka, Kinesis, Flink, or similar
-Experience using tools to manage tasks and across teams such as Linear, Jira, Trello.
-Understanding of product analytics frameworks such as funnel analysis, feature flags, A/B experiments, and how they drive product development and data architecture.
-Knowledge of GraphQL APIs and how to build data systems that power them
-Background in marketplace or two-sided platform data engineering
-Passion for crypto, Web3, and the creator economy
Contact:
🔥 Подписаться на наши каналы / @best_itjob / @it_rab
#удаленка #lead
Company: Zora
Salary: $185k - $225k
🔹Required:
-7+ years of experience in data engineering, with at least 2 years in a technical leadership role
-Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
-Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
-Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
-Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
-Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
-Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
-Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design
🔹Highly Desirable:
-Familiarity with DeFi, trading platforms, or financial systems and understanding of concepts like liquidity, orderbooks, and market dynamics
-Experience working with blockchain data (e.g. event logs, on-chain indexing) and EVM-compatible chains (Ethereum, Base, etc.)
-Experience with dbt (macros, incremental models, canonical modeling, and schema management) for large-scale data systems.
-Experience with Dune Analytics for querying and visualizing blockchain data.
-Experience with streaming data and event-driven architectures using tools like Kafka, Kinesis, Flink, or similar
-Experience using tools to manage tasks and across teams such as Linear, Jira, Trello.
-Understanding of product analytics frameworks such as funnel analysis, feature flags, A/B experiments, and how they drive product development and data architecture.
-Knowledge of GraphQL APIs and how to build data systems that power them
-Background in marketplace or two-sided platform data engineering
-Passion for crypto, Web3, and the creator economy
Contact:
🔥 Подписаться на наши каналы / @best_itjob / @it_rab
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