Description

Our client is a fast-growing automation-led next-generation service provider delivering excellence in IT, BPO, and consulting services. They are driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation.

Our client's Digital offerings have helped clients achieve operational excellence and customer delight. Their focus lies on taking a leadership position in helping clients attain customer intimacy as their competitive advantage. They are now on a journey of metamorphosing the experiences of the customer's customers by leveraging our industry-leading delivery and execution model, built around the strategy- Automate Everything™, Cloudify Everything™, Transform Customer Experiences™.

Powering our client's complex technology solutions and services is the Bottom-Up Disruption, a disruptive crowdsourcing initiative that brings about innovation and improvement to everyday complexities and, ultimately, growing the client's business. The digitally empowered workforce of our client represents various nationalities, comprising 19,833 employees, and lives the company's philosophy of 'customer success, first and always'. The company reported a 2020 global revenue of USD $845.04 Mn.

We are currently searching for a Remote Snowflake Data Engineer with Power Bi:

Responsibilities

• Design, develop, and optimize data models and ETL processes using Snowflake for efficient data storage and analytics.
• Implement data transformation logic using SQL, Snowflake Stored Procedures (SQL and Python), and ETL tools to ensure data integrity, accuracy, and consistency.
• Design, develop, and deploy Power BI reports and dashboards integrated with Snowflake.
• Collaborate with data architects and business stakeholders to understand data requirements and visualization needs.
• Ensure data quality, governance, and security within the Snowflake environment.
• Troubleshoot and resolve issues related to the Snowflake data warehouse.

Requirements

• Data Modeling & ETL: Design, develop, and optimize data models and ETL processes using Snowflake for efficient data storage and analytics.
• Design, develop, and deploy Power BI reports and dashboards integrated with Snowflake.
• Strong understanding of Snowflake, including SQL and data warehousing concepts.
• Implement data transformation logic using SQL, Snowflake Stored Procedures (SQL and Python), and ETL tool to ensure the integrity, accuracy, and consistency of data.
• Collaborate with data architects and business stakeholders to understand data requirements.
• Design, develop, and deploy Power BI reports and dashboards.
• Collaborate with business stakeholders to understand their data visualization needs.
• Proficiency in Power BI, including DAX and Power Query.
• Ensure data quality, governance, and security within the Snowflake environment.
• Troubleshoot and resolve issues related to the Snowflake data warehouse.

Desired

• Hands-on experience with AWS services like Lambda, SQS, and SNS.
• Knowledge of DBT for building ETL pipelines, testing, and deploying transformation models.
• Familiarity with CI/CD processes and DevOps practices for data pipelines.
• Snowflake certification (e.g., SnowPro Core) is preferred.
• AWS / Cloud experience is a plus.
• Proficiency in Azure DevOps, including: Source control management, Automation deployments, Deploying Snowflake scripts across environments, and Managing ETL pipeline deployments.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/

Requirements

• +5YoE
• Data Modeling & ETL: Design, develop, and optimize data models and ETL processes using Snowflake for efficient data storage and analytics.
• Design, develop, and deploy Power BI reports and dashboards integrated with Snowflake.
• Strong understanding of Snowflake, including SQL and data warehousing concepts.
• Implement data transformation logic using SQL, Snowflake Stored Procedures (SQL and Python), and ETL tool to ensure the integrity, accuracy, and consistency of data.
• Collaborate with data architects and business stakeholders to understand data requirements.
• Design, develop, and deploy Power BI reports and dashboards.
• Collaborate with business stakeholders to understand their data visualization needs.
• Proficiency in Power BI, including DAX and Power Query.
• Ensure data quality, governance, and security within the Snowflake environment.
• Troubleshoot and resolve issues related to the Snowflake data warehouse.