Snowflake Data Engineering

Wipro; Región Centro; Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

Wipro in Mexico City and Guadalajara is seeking a Snowflake Data Engineer with 8+ years of experience to design, build, and maintain scalable data pipelines. This hybrid role spans CDMX and Guadalajara, with collaboration across data teams to translate business needs into robust data solutions.

You will apply Snowflake features, SQL, and ETL/ELT tooling, plus cloud experience (AWS/Azure/GCP). Proficiency in Python, Java, or C#, data modeling, governance, and performance tuning is essential,

Qualifications

• 8+ years of experience as a Snowflake Data Engineer or related role.
• Hands-on experience with Snowflake data pipelines, RBAC, and time travel.

Responsibilities

• Gather requirements and convert them into technical specifications.
• Design and implement data solutions across modules and integrations.
• Configure and customise data workflows and processes.
• Analyze performance issues and optimise queries and data flows.
• Create detailed functional and technical documentation.

Skills

Snowflake Data Engineering

Python/Java/C#

SQL

Cloud platforms (AWS/Azure/GCP)

Tools

Informatica

SnapLogic

Job description

Job Description

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.

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 customisations, 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".

Mandatory Skills

Snowflake Data Engineering .

Experience: 8-10 Years .

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