Senior Data Engineer

6 days ago

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Balsam Brands

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Description

• In this hands-on role as a Senior Data Engineer, your primary responsibility will be to partner with key business partners, data analysts and software engineers to design and build a robust, scalable, company-wide data infrastructure to move and translate data that will be used to inform strategic business decisions. • You will ensure performance, stability, cost-efficiency, security, and accuracy of the data on the centralized data platform. • The ideal candidate will possess advanced knowledge and hands-on experience in data integration, building data pipelines, batch processing frameworks, and data modeling techniques to facilitate seamless data movement. • You will collaborate with various technology and business stakeholders to define requirements and design and deliver data products that meet user needs. • The candidate should demonstrate intellectual acumen, excel in engineering best practices, and have a strong interest in developing enterprise-scale solutions using industry-recognized cloud platforms, data warehouses, data integration and orchestration tools. • This full-time position reports to the Senior Manager, Data Engineering and requires in-office presence twice a week (Tuesdays and Wednesdays) to facilitate effective collaboration with both local and remote team members. • Some flexibility in the regular work schedule is necessary, as most teams have overlapping hours in the early morning and/or early evening PST. Specific scheduling needs for this role will be discussed in the initial interview.

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 database on Snowflake Cloud Data Platform. • In-depth knowledge on cloud platforms, particularly GCP and Microsoft. • 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 database (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 non-technical audience from a various business function. • Strong understanding of coding standards, best practices, and data governance.

Benefits

• 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 the electricity and internet services. • 20 days Christmas bonus. • Paid Time Off: Official Mexican holidays plus Maundy Thursday, Good Friday and Dia de Los Muertos; 12 vacation days (increases with years of service); plus additional wellness days available at start of employment.