Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
About the role
- Data Engineer at Flip building and maintaining scalable data pipelines for ingestion into BigQuery and collaborating with data analysts to enable insights.
Responsibilities
- Build and maintain batch data pipelines for ingestion into BigQuery from multiple sources
- Support the creation of MVP data transformations and analytics datasets
- Schedule and automate reporting pipelines using orchestration tools
- Collaborate with data analysts to enable reporting and dashboards
- Ensure data quality, documentation, and reproducibility of workflows
Requirements
- 2+ years of experience in data engineering or analytics engineering
- Solid SQL and Python skills for ETL/ELT workflows and be able to implement it on production-ready
- Experience and knowledge of good practices with cloud data warehouses (BigQuery, Athena, etc)
- Familiarity with orchestration tools (Airflow, Argo, dbt) to deliver SLA driven pipeline design
- Comfortable working in Git-based workflows and supporting CI/CD processes
- Familiarity with Terraform is a plus
- Experience with building a data warehouse is a plus
- Experience working with variety of stakeholders outside Data team is a plus
- Experience with data quality/governance best practices is a plus
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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