Senior Data Engineer

Data Meaning; São Paulo; Presencial; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

Data Meaning is looking for a Senior Data Engineer to support the transition and modernization of client data platforms. The role focuses on pipeline migration, operational stabilization, and implementing a dbt-based transformation framework within Snowflake.

The ideal candidate will have extensive experience in Data Engineering with hands-on knowledge of Snowflake, Apache Airflow, Python, and SQL. This position allows for remote work and requires strong collaboration with the engineering team.

Qualificações

• 8+ years of experience in Data Engineering.
• Strong SQL and Python programming skills are essential.
• Hands-on experience with Snowflake and Apache Airflow is required.

Responsabilidades

• Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow.
• Implement data ingestion and transformation logic for batch and incremental pipelines.
• Document data pipelines and operational procedures.

Conhecimentos

Advanced/fluent English

Data Engineering (8+ years)

Snowflake

Apache Airflow

Advanced SQL

Python programming

Building ELT pipelines

Cloud environments (AWS preferred)

Descrição da oferta de emprego

Job Summary

Data Meaning is a front‑runner in Business Intelligence and Data Analytics consulting, renowned for our high‑quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation‑driven work culture.

Location: BR, Remote

Position type: TBD

Position Summary

The Senior Data Engineer will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on pipeline migration, operational stabilization, and the implementation of a dbt‑based transformation framework within a Snowflake environment.

This role will work closely with the Lead Data Architect and the client’s engineering team, participating in knowledge transfer sessions.

Key Responsibilities

• Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow
• Implement data ingestion and transformation logic for batch and incremental pipelines
• Convert existing SQL transformations into dbt models
• Implement dbt testing frameworks (schema, relationship, freshness tests)
• Participate in pipeline walkthroughs and knowledge transfer sessions with the existing team
• Document data pipelines and operational procedures
• Support the transition from vendor‑managed pipelines to Data Meaning ownership
• Monitor production pipelines and data workflows
• Troubleshoot pipeline failures and operational issues
• Improve monitoring, alerting, and operational reliability
• Implement automated data validation and quality checks
• Support the development of a data quality framework

Required Skills & Qualifications

• Advanced/fluent English
• 8+ years of experience in Data Engineering
• Hands‑on experience with Snowflake
• Experience working with Apache Airflow
• Strong SQL (advanced) skills
• Strong Python programming skills
• Experience building ELT pipelines, data warehouse transformations, batch and incremental pipelines, data ingestion pipelines
• Experience working in cloud environments (AWS preferred)

Nice to Have

• Experience implementing dbt
• Experience with data platform migrations
• Experience with data pipeline performance optimization