Snowflake Data Engineer
HYBRID ROLE – MEXICO CITY (CDMX) & GUADALAJARA
Snowflake Data Engineer – 8+ Years of Experience
- Experience: Must have 8+ years of experience as a Snowflake Data Engineer or related role.
- Snowflake: Strong hands-on experience building, maintaining, and documenting data pipelines.
- Expertise in Snowflake concepts such as RBAC management, Virtual Warehouses, File Formats, Streams, Zero-Copy Cloning, and Time Travel.
- SQL: Strong SQL development experience, including queries and stored procedures.
- ETL/ELT: Strong knowledge of no-code/low-code tools such as Informatica or SnapLogic.
- Experience with data standardization, cleansing, enrichment, and modeling.
- Proficiency in Python, Java, or C#.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong knowledge of ETL/ELT processes, data warehousing, and data modeling.
- Familiarity with data security and governance best practices.
- Excellent problem-solving and analytical skills, including process performance improvement.
- Strong communication and collaboration skills.
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Areas of Responsibility
Requirement Gathering-Conduct requirement-gathering discussions and workshops with internal and client stakeholders to understand functional requirements and convert them into technical requirements in line with project goals.
Feasibility Analysis-Assist in feasibility analysis by reviewing functional documents, noting preliminary constraints, and preparing impact summaries for potential changes.
Solution Design-Contribute to solution design by identifying customisation requirements across multiple modules, basis understanding of functional requirements and its linkage to technical requirements.
Configuration and Customisation-Execute required customizations, apply configuration changes across multiple modules within the existing system and support implementation of business processes.
Technology Harmonisation-Participate in integration design for multiple modules and assess the data flow between multiple applications.
Troubleshooting and optimisation-Analyse performance issues and optimise configurations, queries, or integrations across multiple applications.
Documentation-"Create detailed functional and technical documentation including design documents and process documents."
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Mandatory Skills: Snowflake Data Engineering .
Experience: 8-10 Years .
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