Integration Data Engineer

  • Enroute
  • México
Descripción

We are passionate about technology and take joy in our work. Continuously seeking innovation, we aim to enhance our social awareness every day. We make things happen, and you can rely on us. Our Enrouters are always ready for a challenge. We ask questions and love to learn.

We pride ourselves on providing excellent benefits and compensation, a fantastic work environment, flexible schedules, and policies that positively impact your work-life balance. We care about who you are both in the office and as an individual. We get involved and like to know our people. We want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy individuals. We want you to enjoy working with us.

The Data Integration Specialist is tasked with ensuring that the organization's various databases, software applications, and systems are properly interconnected, using a range of integration methods including RESTful APIs, file transfers, and message queuing.

This role requires a deep understanding of data integration technologies, cloud services (particularly within the Azure ecosystem), and expertise in implementing scalable, efficient, and secure integration solutions. The ideal candidate will possess strong analytical skills, advanced knowledge of C#/.NET, and a proactive approach to maintaining data quality and reliability.

Requirements

  • Over 5 years of experience using cloud platforms (AWS, GCP, Azure) for data integration or data engineering purposes
  • At least 2 years must be with Azure cloud
  • More than 5 years of experience using an object-oriented programming language such as C/C++, C#, or Java to build and maintain RESTful APIs
  • At least 2 years must be with C#
  • Over 5 years of experience building data pipelines using Databricks, Snowflake, Azure Synapse, Spark, or Airflow
  • At least 2 years must be in one of the following: Databricks, Snowflake, Azure Synapse

Responsibilities

  • Design and implement data integration strategies
  • Perform data mapping, transformation, and data cleansing activities
  • Collaborate with data architects and other stakeholders to ensure integration solutions meet business requirements
  • Identify and resolve data integration issues, such as inconsistencies or discrepancies
  • Develop and maintain documentation related to data integration processes, including data source definitions, data flow diagrams, and system interactions
  • Participate in design reviews and provide input on data integration plans
  • Ensure adherence to data security and privacy regulations
  • Maintain knowledge of the latest data integration tools and technologies and recommend upgrades when necessary
  • Perform regular audits to ensure the integrity and quality of integrated data

Benefits

  • Competitive monetary compensation
  • Year-end bonus
  • IMSS, AFORE, INFONAVIT
  • Major medical expenses insurance
  • Minor medical expenses insurance
  • Life insurance
  • Funeral expenses insurance
  • Preferential rates for car insurance
  • TDU membership
  • Paid holidays and vacations
  • Sick days
  • Bereavement leave
  • Civil marriage leave
  • Maternity and paternity leave
  • English and Spanish language classes
  • Performance management framework
  • Opportunities for certifications
  • TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
  • Taquitos rewards
  • Amazon gift card on your birthday
  • Work-from-home bonus
  • Laptop policy

Equal Employment Opportunity

Enroute is committed to providing equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all aspects of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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