Talent Acquisition Graduate Intern, Data Engineering & Analytics

🔥 19 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $50 / hour

⏱ Part Time

⚪️ Entry-level

🚰 Data Engineer

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Solidigm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2021

🏭 Manufacturing

💼 Consulting

🔧 Hardware

Manufacturing • Consulting • Hardware

Solidigm is a leading provider of high-performance data storage solutions, tailored for the AI era. The company specializes in developing ultra-fast storage solutions designed to tackle demanding workloads and enhance AI data pipelines. Solidigm's portfolio includes products like data center SSDs, PCIe SSDs, and innovative storage technologies optimized for both edge and core applications. Their storage solutions are aimed at revolutionizing data management, allowing for instantaneous data movement and improved computational efficiency. As a trademark of SK hynix NAND Product Solutions Corp. , Solidigm is committed to advancing the limits of storage technology and aiding businesses in deploying their critical data more effectively.

📋 Description

• Establish and validate connections between Talent Acquisition source systems and Snowflake • Configure Power BI connectivity and scheduled refresh • Implement data quality checks and refresh monitoring • Build a query-ready dimensional data model in Snowflake • Write and optimize SQL transformations for analysis-ready tables and historical reporting • Develop Power BI dashboards covering executive summaries, requisition and pipeline health, funnel conversion, time-to-fill, time-in-stage, offer metrics, sourcing effectiveness, recruiter workload, and TA operational SLA metrics • Build a governed semantic model with certified DAX measures • Implement row-level security and optimize model performance • Produce documentation covering pipeline architecture, data lineage, model diagrams, measure definitions, and troubleshooting • Create end-user guides and deliver enablement sessions for TA Operations and HR leadership • Partner with Talent Acquisition leadership to prioritize requirements and translate business questions into metrics • Present dashboard walkthroughs and insights • Deliver an operational Snowflake pipeline, dimensional model, Power BI dashboard suite, automated refresh monitoring, technical documentation, enablement materials, and a future analytics roadmap

🎯 Requirements

• Currently pursuing a graduate degree in Data Analytics, Data Science, Data Engineering, Computer Science, Information Systems, or a related field • Strong proficiency in SQL, including joins, aggregations, window functions, and query optimization • Hands-on experience building dashboards in Power BI, including DAX measures and data modeling • Experience with Python or R for data extraction, transformation, and analysis • Working knowledge of dimensional data modeling and dataset design principles • Familiarity with ETL/ELT concepts and building or maintaining data pipelines • Ability to translate ambiguous business questions into structured, measurable analytics requirements • Comfortable working with confidential candidate and employee data in accordance with Solidigm data privacy and handling standards • Preferred: hands-on experience with Snowflake or a comparable cloud data warehouse • Preferred: experience configuring automated refresh, scheduled jobs, or orchestration tooling such as dbt, Airflow, or Azure Data Factory • Preferred: experience with Power BI Service administration, including workspaces, gateways, deployment pipelines, or row-level security • Preferred: experience with APIs or system-to-system data integrations • Preferred: experience with large datasets in Azure, AWS, or GCP • Preferred: exposure to Git and analytics engineering practices • Preferred: familiarity with AI/ML techniques and workforce data • Preferred: passion for HR, Talent Acquisition, or workforce analytics

🏖️ Benefits

• Remote work eligibility • Flexible remote or hybrid arrangement if local to a Solidigm worksite • Part-time schedule of 20 hours per week • Hands-on experience with global-scale Talent Acquisition data engineering and analytics • Direct collaboration with Talent Acquisition leadership and cross-functional technical teams • Enablement and professional development through documentation, guides, and sessions