BizOps Data Engineer
Guadalajara, JAL, MX
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology.
Your Role:
- Write, test and schedule audits for data validations reports using SQL Stored Procedures, Views and Functions
- Collecting and analyzing large and complex data sets
- Validating data to ensure accuracy and completeness.
- Conducting ad-hoc analysis, solving data discrepancies, and generating actionable business insights.
- Extending support on production issues during non-business hours as needed.
- Understand data lineage, data quality and relationships.
- Monitor ETL jobs and respond to any job failures.
- Perform data engineering related activities e.g. developing and enhancing tools/solutions/processes based on data analysis and/or new customer requirements.
- Development support for platforms and applications assigned.
- Ability to work on Level 2 Service Requests from business users.
- Document knowledge base articles for Tier-1 and Tier-2
- Dedicate 20%-30% of time for Development efforts – Automation of operational activities, data quality checks, application feature development, develop tabular models, bug fixes and reporting.
- Work with customer stakeholders and team members for performance improvement and suggestions.
- Ramp-up on new Azure skills as per the project demands.
Your Profile:
- 3-5 years' experience with Microsoft SQL Server: Writing Complex Queries, Debug existing Stored procedure, DB Performance improvement, Developing quality audits.
- PowerBI and Excel (VBA, Lookups, pivots, etc.)
- Working knowledge on Azure stack: Synapse, Spark/Python, SQL Azure, Azure Data Factory (ADF)
- Experience working on project management tools like Azure DevOps (ADO), JIRA, etc.
- Excellent analytical and problem-solving skills
- Ability to work in Agile environment, deal with ambiguity and critical thinking to achieve the expected results within SLAs
- Excellent communication skills and ability to work with customer stakeholders and cross-functional teams by effectively understanding the business requirements
- Advanced English.
WHAT YOU’LL LOVE ABOUT WORKING HERE?
- Capgemini Employer Promise: Learning + Flexibility + Team Spirit + Inclusion + Innovation.
- Work from home: fully remote position.
- Get competitive benefits above the law.
- Build your future within a worldwide leader in ER&D projects.
- Feel free to grow within different industries and choose your career path.
- Be part of a great family of Engineers, and people all over Mexico and the world.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Data analysis Data quality DevOps Engineering ETL Excel Jira Power BI Python Spark SQL
Perks/benefits: Career development
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