Sr Data Engineer

hace 2 semanas

Desde casa, México Framework Science A tiempo completo

Framework Science is on a MISSION that focuses on Exploring new technologies and building tomorrow’s Applications. This means we hire TOP Engineers and Designers by providing great benefits and pay so they can focus on solving what’s never been solved before. Our aim is to push the needle of innovation while enabling Technical staff to impact code or products at the architecture level. Work with very bright individuals and prosper economically for the value you bring to the table. Our culture is driven by putting our Engineers first with Work-life balance and an environment that sparks the imagination.

Join us as we dare to Explore the Unknown

Where do we come from?
Broadcom, Yahoo, Sony, Samsung, Thermo Fisher, Blackbaud, and many well-known tech companies.

**Ideal Skillset**:

- Databricks
- DBT
- Prefect
- U.S. Client Facing

**Nice to Have**:

- Microsoft SQL Server + SSIS
- DevOps Experience (i.e., Terraform)
- Continuous Integration + Continuous Deployment

**Main Responsibilities**:

- Design and build data pipelines: Develop and implement data ingestion pipelines from multiple sources using tools like Azure Databricks, DBT, and Prefect
- Data analysis and support data-driven decision-making: Perform data analysis using BigQuery, SQL, or other tools to support data-driven decision-making within the organization.
- Collaborate with cross-functional teams: Work closely with various teams to identify and prioritize data needs, ensuring efficient communication and collaboration.
- Manage and optimize data warehouse processes: Oversee and improve data warehouse processes, including extraction, transformation, and consolidation of data stored in different SQL databases.
- Develop scalable and reusable frameworks: Create scalable and reusable frameworks for ingesting data sets, managing data pipelines, and maintaining data quality and consistency

**Job Requirements**:

- Bachelor's degree in Computer Science, Engineering, or a related field
- Proficiency in Databricks, DBT, and Prefect
- Experience with Microsoft SQL Server, SSIS, and DevOps tools like Terraform is a plus
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work independently and as part of a team
- As a Data Engineer, you will be responsible for designing and building data pipelines, analyzing data to support data-driven decision making, collaborating with cross-functional teams, managing and optimizing data warehouse processes, and developing scalable and reusable frameworks. You will work with tools like Databricks, DBT, and Prefect to create efficient data pipelines and support the organization's data needs. Your expertise in Microsoft SQL Server, SSIS, and DevOps tools like Terraform will be an added advantage. Your strong analytical, problem-solving, and communication skills will be essential in this role.

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