Data Engineer

hace 2 semanas

Monterrey, México Axented A tiempo completo

Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional areas within the company. The Data Engineer will support our Software Developers, Database Architects, Data Analyst, and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent.

**Responsibilities**:

- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with management to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers.
- Create data tools and analytics and data scientist that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Responsible for data mining and turning raw data into logical information for reporting.
- Participate in and contribute to cross-functional team projects.
- Accountable for transferring data, knowledge, and best practices that impact the delivery of products and services for internal and external clients.

**Requirements**:

- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Implementation and maintenance of new data technologies, such as data lake and data warehouse
- Required time of experience in a similar position: 2-3 years
- Bachelor's degree in computer science or related technology field is preferred.
- Ability to work with time constraints
- Professional written and interpersonal skills are essential when communicating with customers and clients
- Strong analytic skills related to working with unstructured datasets

**Benefits**:

- Health insurance
- Life insurance
- Christmas bonus above the law
- Vacations starting at 8 days
- Vacations bonus (35%)
- Savings fun
- Special discounts on hospital services

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