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 Big Data Lead:

Responsibilities:

• Lead big data initiatives using Azure cloud services.
• Manage and optimize databases and pipelines through Azure Data Factory.
• Develop scalable data solutions using Python for processing and analyzing large datasets.
• Ensure efficient data storage and retrieval across cloud infrastructures.

Requirements:

• Proven experience with Azure, Databases, and Azure Data Factory.
• Strong proficiency in Python for data manipulation and pipeline automation.
• Ability to work remotely and manage distributed data teams.
• Comfortable leading data architecture and implementation efforts.

Desired:

• Experience with large-scale data projects.
• Familiarity with additional Azure services like Synapse or Databricks.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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