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 Data Integration (SSIS):

Responsibilities

• Lead and develop data warehouses using SQL Analysis Services and Azure DevOps.
• Manage technical aspects of production data warehouses, including monitoring, error handling, and data quality.
• Create data models and translate them into DW designs to support analytical requirements.
• Oversee ETLs, data access, and ensure production functionality meets standards.

Requirements

• 8+ years in IT and 5+ years in data warehousing and engineering.
• Proficiency in SQL Databases, SSIS/IR, ADF, ADO, and Azure DevOps.
• 3+ years of team lead experience in a BI/Data Warehouse environment.
• Expertise in data models, stored procedures, and production data quality validation.

Desired

• Strong problem-solving and analytical skills.
• Experience validating and testing data warehouse functionalities.
• Familiarity with Microsoft data storage structures.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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