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Senior Data Engineer ID82547

Indeed

Company

Job typeFull-time
Workplace typeRemote
Experience levelMore than 10 years
Education levelNo degree limit

Description

**About the role** We are looking for an **Analytics Engineer** to partner with an internal data team on a Customer Data Platform initiative, building Snowflake semantic structures, cleaning and transforming customer and behavioral datasets, and developing AI\-readiness data models for a growing retail brand. You will write production\-grade SQL and Python, build and maintain data models and semantic views in Snowflake, collaborate directly with cross\-functional business stakeholders to translate operational needs into technical specifications, and maintain rigorous technical documentation across all built assets. Eastern Time Zone overlap preferred. **What you will do** * **CDP Data Modeling (Primary Focus):** Partner with an internal data team member to clean, transform, and structure incoming customer, sales, and behavioral datasets inside Snowflake to feed the Customer Data Platform. * **AI Readiness \& Semantic Layer:** Assist in developing Snowflake views, semantic models, and structured metadata to ground downstream AI agents and BI tools (Sigma). * **Ad\-Hoc Operational Data Prep:** Work with cross\-functional stakeholders to engineer datasets for key retail initiatives (e.g., store inventory/RFID data projects, customer analytics). * Write production\-grade, performant **SQL** queries and **Python** scripts for data transformation, extraction, and automated data wrangling. * Partner directly with business stakeholders to translate ambiguous business requests into clean, structured data models. * Parse and flatten complex semi\-structured data (JSON, nested payloads) landed from cloud sources. * Build and maintain data models and semantic views in **Snowflake**. * Write thorough data dictionaries, model descriptions, and documentation for built assets. * Maintain clean code repositories and follow git workflows and data testing protocols. * Take on additional analytics engineering priorities as assigned, based on evolving business needs. **Must haves** * **4\+ years** writing complex, optimized **SQL** — window functions, and handling semi\-structured/nested data formats. * Strong **Python**: Proficient writing clean, modular Python scripts for data manipulation, automation, API/file processing, and data quality checks. * Cloud Platform Experience: Hands\-on experience working within at least one major cloud data ecosystem (**AWS, Snowflake, GCP, or Azure**). * Strong Stakeholder Communication: Ability to collaborate directly with business partners, ask clarifying questions, and turn operational needs into technical specifications. * Rigorous Documentation Focus: A disciplined habit of maintaining thorough technical documentation and code comments. * Upper\-intermediate English level. **Nice to haves** * **dbt (Data Build Tool):** Experience writing, modularizing, and testing dbt models. * **Snowflake \& AWS S3:** Direct experience querying Snowflake data warehouses and manipulating staging data stored in S3 buckets. * Orchestration Tools: Familiarity with **Apache Airflow** or similar pipeline schedulers. * Retail / E\-Commerce Knowledge: Background in omni\-channel retail, store operations, inventory management, or customer analytics. **Perks and benefits** * **Growth without limits:** build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget * **Competitive compensation:** get recognition that reflects your skills and impact, with regular performance and compensation reviews * **Flexibility:** work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm * **Meaningful, modern projects:** build impactful products using modern technologies alongside global teams and leading brands * **Collaborative culture:** join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized * **Well\-being \& support:** access local well\-being programs and people\-focused support tailored to your location Job Type: Full\-time Work Location: Remote

Posted by

João Silva

Indeed · HR

Location

João Silva

Indeed · HR

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