Python developer (offline)
Required skills:
β’ Experience in building cloud native data engineering solutions using GCP or AWS platforms;
β’ 2+ years of development experience with BigData;
β’ ETL scripting in Python;
β’ Prior experience in building data ingestion pipelines of telemetry data in GCP/AWS including app monitoring, performance monitoring and network monitoring logs;
β’ Background in building data integration applications using Spark or MapReduce frameworks;
β’ Track record of producing software artifacts of exceptional quality by adhering to coding standards, design patterns and best practices;
β’ Strong background in SQL / BigQuery / PubSub;
β’ High proficiency in working with Git, automated build and CI/CD pipelines;
β’ Knowledge in some terraform scripting (adding new datasets, buckets, IAM) will be a plus;
β’ Intermediate level of English or higher.
Responsibilities:
β’ Maintain and support existing ingestion pipelines;
β’ Optimize queries based on performance testing;
β’ Design and implement new ingestion pipelines that bring data from external data sources (HTTPS, SFTP) or internal data sources (JDBC, HTTP, MQQT);
β’ Work with Application engineers and product managers on refining data requirements;
β’ Implement and test fine-grained access control setup (per dataset, per column).
Our benefits:
β’ Strong opportunities for professional and career growth - Meetups, TechClubs, Professional Library and more;
β’ Challenging tasks with a friendly experienced team;
β’ Flat hierarchy without micromanagement β our doors are open, and all teammates are approachable;
β’ Direct communication with stakeholders and the ability to influence product development;
β’ Up to 50% compensation of educational courses and conferences price for professional growth;
β’ Free English classes and English Business Course;
β’ 23 business days leave and medical Covid support;
β’ Regular team events and activities;
β’ Gifts for significant life events.
β’ Experience in building cloud native data engineering solutions using GCP or AWS platforms;
β’ 2+ years of development experience with BigData;
β’ ETL scripting in Python;
β’ Prior experience in building data ingestion pipelines of telemetry data in GCP/AWS including app monitoring, performance monitoring and network monitoring logs;
β’ Background in building data integration applications using Spark or MapReduce frameworks;
β’ Track record of producing software artifacts of exceptional quality by adhering to coding standards, design patterns and best practices;
β’ Strong background in SQL / BigQuery / PubSub;
β’ High proficiency in working with Git, automated build and CI/CD pipelines;
β’ Knowledge in some terraform scripting (adding new datasets, buckets, IAM) will be a plus;
β’ Intermediate level of English or higher.
Responsibilities:
β’ Maintain and support existing ingestion pipelines;
β’ Optimize queries based on performance testing;
β’ Design and implement new ingestion pipelines that bring data from external data sources (HTTPS, SFTP) or internal data sources (JDBC, HTTP, MQQT);
β’ Work with Application engineers and product managers on refining data requirements;
β’ Implement and test fine-grained access control setup (per dataset, per column).
Our benefits:
β’ Strong opportunities for professional and career growth - Meetups, TechClubs, Professional Library and more;
β’ Challenging tasks with a friendly experienced team;
β’ Flat hierarchy without micromanagement β our doors are open, and all teammates are approachable;
β’ Direct communication with stakeholders and the ability to influence product development;
β’ Up to 50% compensation of educational courses and conferences price for professional growth;
β’ Free English classes and English Business Course;
β’ 23 business days leave and medical Covid support;
β’ Regular team events and activities;
β’ Gifts for significant life events.
About tech-stack.io
TechStack - the team of ambitious and energetic IT professionals. Our philosophy is a total IT service.Company website:
https://tech-stack.ip
The job ad is no longer active
Job unpublished on
13 May 2021
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