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Senior Data Engineer
4 weeks ago
What You'll Do
We are looking for an experienced and motivated Senior Data Engineer to join our Data Operations team. You have expertise in Python, Snowflake SQL, modern ETL tools, and business intelligence platforms such as Power BI. You will require experience integrating SaaS applications such as Salesforce, Zuora, and NetSuite using REST APIs. You will develop data pipelines, developing data models, and ensuring seamless data integrations that support business reporting. We are looking for flexibility to collaborate in US time zones.
What Your Responsibilities Will Be
- Design scalable data pipelines and workflows using modern ETL tools and Python.
- Build and optimize SQL queries and data models on Snowflake to support reporting needs.
- Integrate with SaaS platforms such as Salesforce, Zuora, and NetSuite using APIs or native connectors.
- Develop and support dashboards and reports using Power BI and other reporting tools.
- You will Work with data analysts, our users, and other engineering teams to gather requirements and provide high-quality solutions.
- you will Ensure data quality, accuracy, and consistency across systems and datasets.
- Write clean, well-documented, and testable code with a focus on performance and reliability.
- Participate in peer code reviews and contribute to best practices in data engineering.
- Be available for meetings and collaboration in US time zones.
You will report to a manager.
What You'll Need to be Successful
- You have 5+ years' experience in data engineering field, with deep SQL knowledge.
- Experience in Snowflake - SQL, Python, AWS Services, Power BI, ETL Tools (DBT, Airflow) is must.
- Proficiency in Python for data transformation and scripting.
- Proficiency in writing complex SQL queries, Stored Procedures.
- Experience in Data Warehouse, data modeling and ETL design concepts.
- Have integrated SaaS systems like Salesforce, Zuora, NetSuite along with Relational Databases, REST API, FTP/SFTP...
- Knowledge of AWS technologies (EC2, S3, RDS, )
- , with the ability to translate technical issues for non-technical partners.
- Flexibility to work during US business hours for team meetings and collaboration.
