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 DataStage - Snowflake Engineer:

Responsibilities:

• Design and develop data pipelines and data stores.
• Build metadata-driven solutions that are reusable and highly configurable.
• Create processes to support data transformation, data structures, metadata, and workload management.
• Utilize Snowpipe for handling streaming data.
• Write complex queries and manage data reclustering in Snowflake.
• Apply best practices in data curation, movement, and staging.

Requirements:

• 7+ years of experience in IT within data-related projects.
• 4+ years of experience in DataStage.
• 3+ years of experience in Snowflake development (Not a must)
• Excellent understanding of data architecture and cloud migration processes (a plus).
• Strong communication skills.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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