Requirements: English
Company: SquareOne
Were seeking an experiencedSenior Data Engineerswith deep expertise inSnowflakeandcloud-based data engineeringto join our growing team of consultants.
Role Overview
In this role, youll design and develop modern data solutions that fuel analytics, reporting, and operational efficiency. You''ll own end-to-end data workflows from ingestion to transformation, with a focus on automation, security, and performance within theSnowflake ecosystemandAWS cloud.
Why Join Us?
- Remote or hybrid flexibility your call
- Collaborative international teamsand global projects
- Long-term B2B contractsthat support your professional growth
- Supportive, tech-forward culture that values quality and creativity
What You Bring?
Were looking for experienced data engineers ready to take ownership and elevate enterprise-level data systems:
- 4+ yearsin data engineering and cloud data platforms
- Proven expertise withSnowflake,Python, andSQL
- Experience withdata lakes,batch/stream processing, andcloud-native architectures
- Strong understanding ofdata governance,access control, and security best practices
- Ability to build and automate scalable ETL/ELT pipelines with performance in mind
Nice to Have:
- Familiarity withDBT (Data Build Tool)
Were seeking an experiencedSenior Data Engineerswith deep expertise inSnowflakeandcloud-based data engineeringto join our growing team of consultants.
Role Overview
In this role, youll design and develop modern data solutions that fuel analytics, reporting, and operational efficiency. You''ll own end-to-end data workflows from ingestion to transformation, with a focus on automation, security, and performance within theSnowflake ecosystemandAWS cloud.
Why Join Us?
- Remote or hybrid flexibility your call
- Collaborative international teamsand global projects
- Long-term B2B contractsthat support your professional growth
- Supportive, tech-forward culture that values quality and creativity
,[Building and optimizing ETL/ELT pipelines using Python, SQL, and Snowflake, Implementing data modelling best practices, partitioning, and performance tuning in Snowflake, Ensuring data quality, governance, and security with row-level security, masking, and audit controls, Automating workflows with Airflow, Prefect, or similar orchestration tools, Collaborating with architects, engineers, and business stakeholders to design scalable data solutions, Integrating cloud services and managing data flows within AWS and Snowflake, Maintaining a high standard of data integrity, availability, and accessibility] Requirements: Data engineering, Snowflake, Python, SQL, Data Lake, Security, ETL, dbt, Data build tool