Senior Data Engineer

hace 2 semanas

Ciudad de México, Ciudad de México Balsam Brands A tiempo completo

About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Balsam Brands. As a Senior Data Engineer, you will be responsible for designing and building a robust, scalable, and high-performance data infrastructure to meet the company-wide data and analytics needs.

Key Responsibilities

  • Develop and maintain robust, scalable, and high-performance data infrastructure to meet the company-wide data and analytics needs
  • Manage the entire data lifecycle, including ingestion, modeling, warehousing, transformation, access control, quality, observability, retention, and deletion
  • Define and implement data integration strategies to collect and ingest various data sources
  • Design, build, and launch efficient and reliable data pipelines to process data of different structures and sizes using Python, APIs, SQL, and platforms like Snowflake
  • Serve as a trusted partner to collaborate with technical and cross-functional teams to support their data needs, address data-related technical issues, and provide expert consultation
  • Apply engineering best practices to streamline manual processes, optimize data pipelines, and establish observability capabilities to monitor and alert data quality and infrastructure health and stability
  • Stay updated on the latest technologies and lead the evaluation and deployment of cutting-edge tools to enhance data infrastructure and processes
  • Foster a culture of knowledge sharing by acting as a subject matter expert, leading by example, and mentoring others

Requirements

  • Must be fluent in English, both written and verbal
  • 8+ years of professional experience in the data engineering
  • Extensive hands-on experience with designing and maintaining scalable, efficient, secure, and fault-tolerant distributed databases on Snowflake Cloud Data Platform
  • Proficient in designing and implementing data movement pipelines for diverse data sources, including databases, external data providers, and streaming sources, for both inbound and outbound data workflows
  • Deep understanding of relational databases (SQL Server, Oracle, Postgres, and MySQL) with advanced SQL and Python skills for building API integration, ETLs, and data models
  • Proven experience in building efficient and reliable data pipelines with comprehensive data quality checks, workflow management, and CI/CD integration
  • Excellent analytical thinking skills for performing root cause analysis on external and internal processes and data, resolving data incidents, and identifying opportunities for improvement
  • Effective communication skills for articulating complex technical details in simple business terms to a non-technical audience from various business functions
  • Strong understanding of coding standards, best practices, and data governance

What We Offer

  • Competitive compensation; salary is reviewed yearly and may be adjusted as part of the normal compensation review process
  • Career development and growth opportunities; access to online learning solutions and annual stipend for continuous learning
  • Fully remote work and flexible schedule
  • Collaborate in a multicultural environment; learn and share best practices around the globe
  • Government-mandated benefits (IMSS, INFONAVIT, SAR, 50% vacation premium)
  • Healthcare coverage provided for the employee and dependents
  • Life insurance provided for the employee
  • Monthly grocery coupons
  • Monthly non-taxable amount for electricity and internet services
  • 20 days Christmas bonus
  • Paid Time Off: Official Mexican holidays plus Maundy Thursday, Good Friday, and Día de los Muertos; 12 vacation days (increases with years of service); plus additional wellness days available at start of employment

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