Senior Data Ops Developer
Core
Design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions for enterprise data platforms.
Role type
Senior DataOps Developer (Data Engineering)
Builds
Cloud-based data pipelines, automated solutions for Quote-to-Cash and Quote-to-Fulfillment processes, data lakes, data warehouses, and data marts.
Domain
Enterprise software, Cloud Data Engineering, ERP
Required skills
SQL, data pipeline design, data warehousing, data lake management, cloud infrastructure evaluation, data quality/integrity maintenance, stakeholder requirement gathering, technical solution translation
Preferred skills
Microsoft Azure ecosystem (Azure SQL, Data Lake, data warehousing), PySpark, Apache Spark, Python, AI-enabled solution development (Azure AI, generative AI APIs, Hugging Face), internal automation tool creation
Technologies
Azure, Azure SQL, Azure Data Lake, Spark, Python
Responsibilities
Design and implement cloud-based data pipelines for data ingestion, storage, processing, and analysis; Partner with data engineers, analytics teams, and business stakeholders to define and deliver scalable technical solutions; Integrate data from multiple disparate sources while maintaining data quality and timeliness; Evaluate and utilize appropriate Azure infrastructure and cloud services considering scalability, performance, cost, and security; Design and optimize data storage and processing solutions including data lakes and warehouses.
Seniority
Senior, hands-on IC