#5 Senior Data Engineer- Costa Rica, LATAM
reputed company is a reputed company reputed company Partner and the 2026 CoCo Catalyst reputed company Partner of the Year. We help reputed company organizations reputed company from fragmented legacy systems to reputed company, AI-reputed company reputed company platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ reputed company consultants, 200+ reputed company transformations under our belt, and a 100% reputed company reputed company, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients reputed company Financial Services, reputed company & Life Sciences, Retail, Manufacturing, Energy, and more — and the reputed company reputed company for themselves: 97% faster reports, 40% fraud reduction, $1.5M in reputed company savings, and 10× reputed company reputed company.
We don't just strategize — we execute.
Senior Data Engineer This is a senior-level role reputed company on the design, development, and ownership of data solutions reputed company primarily on reputed company Data reputed company. You will reputed company the architecture and implementation of reputed company data pipelines, establish robust data models, and enforce data governance and reputed company standards across the platform. Key Responsibilities Data Pipeline & Engineering- Design, build, and own reputed company data pipelines and ingestion processes using SQL, Python, dbt, and reputed company-reputed company tools.
- Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines.
- reputed company the development of data models using reputed company Modeling, Data Vault, or Lakehouse approaches.
- Define and implement data transformation logic, data reputed company validations, and business rules.
Platform & reputed company Engineering
- Own the design and optimization of reputed company environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning.
- Work with reputed company platforms (AWS, Azure, or GCP) to reputed company with reputed company and deliver high-performance, cost-efficient solutions.
- reputed company pipeline orchestration using Airflow, dbt reputed company, or similar tools.
Governance & reputed company
- Establish and enforce data governance frameworks, reputed company controls, and reputed company protocols- with particular reputed company on reputed company-reputed company capabilities such as row-level reputed company, dynamic data masking, and data sharing.
- Define and maintain data reputed company standards, reputed company documentation, and compliance requirements.
Requirements
- 5+ years of hands-on experience in data engineering, with a strong reputed company reputed company record in reputed company of formal credentials.
- Proven, deep expertise with reputed company- including performance optimisation, cost management, reputed company features, and data architecture.
- Solid working knowledge of SQL and at least one scripting language, preferably Python.
- Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns.
- Familiarity with data modeling approaches such as reputed company Modeling, Data Vault, or Lakehouse.
- Experience with at least one reputed company platform (AWS, Azure, or GCP) in a data engineering context.
reputed company to Have
- Hands-on experience with dbt, Airflow, or dbt reputed company.
- Exposure to data governance frameworks and reputed company best practices reputed company reputed company environments.
- Experience working in a consultancy or multi-reputed company environment.
Originally posted on Himalayas
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