Azure Data Engineer

Cognizant; Guadalajara; Presencial; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading digital services provider in Guadalajara is seeking an Azure Data Engineer to design and build scalable data pipelines and perform complex data transformations. You will lead a team, oversee technical operations, and manage client communications to ensure performance. The position requires extensive experience with Azure technologies and strong Python skills. Exceptional benefits and development opportunities are available in a thriving work culture committed to inclusivity.

Servicios

Competitive benefits package

Career development opportunities

Work for leading global companies

Formación

• 7+ years of experience in Data Engineering, with at least 2 years in a Lead or Senior/Principal role.
• Expert-level proficiency in Python and PySpark for data processing and ETL development.
• Strong hands-on experience with Power BI development, including DAX, data modeling, and governance.

Responsabilidades

• Lead the design and development of scalable and high-performance data pipelines.
• Serve as the technical escalation point for complex incidents.
• Oversee the setup and maintenance of monitoring and alerting mechanisms.

Conocimientos

Python

PySpark

Azure Data Factory

Power BI

Azure Synapse Analytics

Incident Management

Team Leadership

Client Communication

Herramientas

Git

Azure DevOps

Descripción del empleo

We’re hiring!

At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!

We have an exciting opportunity for an exceptional individual to work supporting one of our clients as Azure Data Engineer (Support & Development)

Key Responsibilities

Technical Development & Engineering

• Design, Develop, and Optimize: Lead the design and development of scalable and high-performance data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks.
• Data Transformation: Implement complex data transformations and business logic using PySpark within Databricks notebooks, ensuring data quality and integrity.
• Data Warehousing: Utilize Azure Synapse Analytics (SQL Pools, Serverless Pools) for data warehousing, modeling, and large-scale data querying.
• Reporting & Visualization: Develop and maintain Power BI (PBI) reports and dashboards, ensuring accurate and insightful data representation for business users. This includes defining data models and measures within PBI.
• Code Quality & Best Practices: Enforce best practices for coding, testing, deployment (CI/CD), security, and performance tuning across all data solutions.

Technical Support & Operations

• Tier 3/4 Support: Serve as the technical escalation point for complex incidents and problems related to data pipelines, Databricks clusters, Synapse performance, and Power BI report failures.
• Incident Management: Drive root cause analysis (RCA) and permanent resolution for recurring issues, focusing on continuous improvement and preventative measures.
• Monitoring & Alerting: Oversee the setup and maintenance of monitoring and alerting mechanisms for the data platform to proactively identify and address system health issues.
• Onshore/Offshore Model: Establish and manage effective handoff procedures, communication protocols, and shift coverage for a 24/7 or follow-the-sun support model with offshore teams.

Leadership & Communication

• Team Leadership: Mentor and guide junior and mid-level data engineers, both onshore and offshore, fostering a culture of technical excellence and accountability.
• Customer/Stakeholder Communication: Act as the primary technical liaison, clearly communicating complex technical issues, progress, and resolutions to non-technical business stakeholders and customers.
• Drive Support Excellence: Establish and track key service level objectives (SLOs) and service level agreements (SLAs) for support operations, driving the team to meet and exceed targets.
• Project & Task Management: Oversee the allocation of development and support tasks, ensuring timely delivery and effective prioritization of the backlog.

Required Qualifications

• 7+ years of experience in Data Engineering, with at least 2 years in a Lead or Senior/Principal role.
• Deep expertise in the Azure Data Platform, including Azure Databricks and Azure Synapse Analytics.
• Expert-level proficiency in Python and PySpark for data processing and ETL development.
• Strong hands-on experience with Power BI development, including DAX, data modeling, and governance.
• Proven ability to manage technical teams and drive support operations in an onshore/offshore delivery model.
• Exceptional verbal and written communication skills with a track record of successful client/customer interaction and conflict resolution.
• Solid understanding of cloud security, networking, and governance principles in Azure.
• Experience with version control systems (e.g., Git) and CI/CD pipelines (e.g., Azure DevOps)

Why Cognizant?

• Improve your career in one of the largest and fastest growing IT services providers worldwide
• Receive ongoing support and funding with training and development plans
• Have a highly competitive benefits and salary package
• Get the opportunity to work for leading global companies
• We are committed to respecting human rights and build a better future by helping your minds and the environment
• We invest in people and their wellbeing.
• We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.