
Data Systems Architect
3 days ago
We are seeking a skilled Data Engineer to join our team. This role involves designing and implementing scalable data pipelines, working with various data tools and technologies, and ensuring the reliability and performance of our data systems.
About the JobThe Data Engineer will be responsible for:
Extracting, transforming, and loading (ETL) data from various sources using Python, Go, or Perl scripts;
Developing and maintaining large-scale data processing systems using Google Cloud stack;
Ensuring data quality, security, and compliance through monitoring and analysis;
Scheduling and automating workflows using Airflow or similar job schedulers;
Collaborating with cross-functional teams to identify and prioritize data engineering requirements.
To succeed in this role, you should have:
Strong expertise in the Google Cloud stack, including BigQuery, SQL, and storage solutions;
Experience with data visualization tools like Google Analytics and Looker Studio;
Proficiency in programming languages such as Python, Go, and Perl;
Knowledge of database management systems, including indexing, partitioning, and query optimization techniques;
Familiarity with release engineering practices and automated testing.
We offer a dynamic work environment, competitive salary, and opportunities for growth and development. If you're passionate about data engineering and want to contribute to cutting-edge projects, we encourage you to apply.
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