Big Data Lead-Snowflake

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 Big Data Lead-Snowflake:

Responsibilities

• Develop and maintain ETL processes to load data from various sources into Snowflake.
• Optimize Snowflake performance, including query tuning, clustering, and partitioning strategies.
• Design and implement data engineering solutions following best practices.
• Utilize MS SQL for data modeling, query optimization, and performance tuning.
• Collaborate with cross-functional teams to understand business requirements and ensure data solutions align with objectives.
• Implement and maintain data pipelines as part of ELT deployment strategies.
• Work with programming and scripting languages such as Python, .NET, etc.

Requirements

• 5+ years of experience in ETL development and data engineering.
• 3+ years of hands-on experience with Snowflake in an ELT deployment environment.
• Proficiency in MS SQL, data modeling, and query optimization.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively with cross-functional teams.

Desired

• Experience leading and managing database migration projects.
• Background in the financial services industry.
• Experience with data integration tools (SSIS, SSAS).
• Familiarity with CI/CD and DevOps for data pipelines.
• Snowflake certification (e.g., SnowPro Core) is preferred.

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

• 5+ years of experience in ETL development and data engineering.
• 3+ years of hands-on experience with Snowflake in an ELT deployment environment.
• Proficiency in MS SQL, data modeling, and query optimization.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively with cross-functional teams.