Senior Data Engineer - Qualified Pipeline
Senior Data Engineer – Qualified Pipeline
Location: BR, Remote Position type: TBD
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. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio.
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
Senior Data Engineer - Qualified Pipeline
Senior Data Engineer – Qualified Pipeline
Location: BR, Remote Position type: TBD
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. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio.
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