🕒 7 days ago
Build and optimize ETL/ELT pipelines, data models, and cloud-based data platforms that support analytics and reporting, using Python, SQL, Spark, Databricks, Snowflake, and AWS.
Staff Engineer
📅 Aug 25, 2023
SnowflakeSQL ServerPythonSQL
📜 Description
- Design and implement complex data pipelines and ETL processes.
- Work collaboratively with developers in an embedded DBA/DBM role.
- Optimize performance using Snowflake architecture and best practices.
- Utilize SQL and Python for data manipulation and transformation.
- Troubleshoot and resolve complex data engineering challenges.
🛠️ Requirements
- Bachelor's degree in Computer Science, Engineering, or related field; Master's degree is a plus.
- Minimum of 5 years of hands-on experience in data engineering.
- 2+ years commercial experience with MSSQL.
- 1+ years commercial experience with a major cloud provider, preferably AWS.
- Proven experience in designing and implementing data integrations.
- Strong problem-solving skills and ability to work in a team.
Full job description
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Must have Skills : Snowflake, SQL Server, Python (Strong), SQL (Strong),
Job Description : Data Engineer - 5+ years of experience
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field; Master's degree is a plus.
- Minimum of 5 years of hands-on experience in data engineering.
- 2+ years commercial experience with MSSQL
- 1+ years commercial experience with major cloud provide, preferably AWS
- Experience in embedded DBA /DBM role working directly with developers
- Proven experience in designing and implementing complex data pipelines, ETL processes, and data integrations.
- In-depth knowledge of Snowflake architecture, features, and best practices for performance optimization.
- Proficiency in SQL, Python, or other relevant programming languages for data manipulation and transformation.
- Excellent problem-solving skills and the ability to troubleshoot and resolve complex data engineering challenges.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Data engineering certifications, are a plus.
Qualifications
Additional Information
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