Data Engineer - Data Platform & Integrations
Core
Design, build, and operate cloud-based data platforms and integration layers to ingest, integrate, and serve data for analytics, reporting, and operational use cases.
Role type
Data Engineer (Data Platform & Integrations)
Builds
Central data lake, analytics environments, ETL/ELT pipelines, and data marts
Domain
Retail / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, data integration, Python programming, cloud platform management, data modeling, data quality monitoring, CI/CD implementation, Infrastructure as Code, data governance
Preferred skills
Spark, distributed data processing, AWS Glue/Lambda/EMR, Azure Synapse/Fabric, Terraform/CDK, data engineering certifications
Technologies
Python, AWS, Azure, Spark, Terraform, CDK, AWS Glue, Lambda, EMR, Azure Synapse, Fabric
Responsibilities
Design and maintain robust ETL/ELT pipelines; Integrate data from internal systems, SaaS platforms, and external partners; Develop and maintain data models, data marts, and analytics-ready datasets; Ensure data quality, availability, and reliability through monitoring and automation; Operate and evolve the data platform using CI/CD and Infrastructure as Code; Collaborate with BI, analytics, and application teams on data-related solutions; Implement data security, governance, and access control mechanisms; Contribute to architecture, standards, and best practices within data engineering; Continuously improve performance, scalability, and maintainability of data solutions
