Senior Databricks Engineer

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🕒 May 12

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HR POD - Hiring Talent Globally

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

👥 HR Tech

🎯 Recruiter

🤝 B2B

HR Tech • Recruitment • B2B

HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.

📋 Description

• Design, develop, and maintain complex ETL pipelines in Databricks, ensuring scalable and high-performance data integration across multiple source systems. • Implement and optimize medallion architecture within Databricks by establishing structured data zones (raw, curated, and trusted) to support governed, enterprise-level reporting. • Develop and enhance dimensional data models that provide analytics-ready business views and support automated dashboards and KPI reporting frameworks. • Collaborate closely with cross-functional teams, including data stewards, IT teams, and business stakeholders, to translate operational requirements into effective technical solutions while proactively identifying dependencies and driving alignment. • Contribute to architectural and technical decisions by recommending best practices, challenging assumptions where necessary, and ensuring the scalability, durability, and flexibility of the data platform. • Proactively identify and resolve integration issues, data quality concerns, and process bottlenecks, while providing actionable insights and constructively highlighting potential project risks or inefficiencies. • Support documentation and knowledge-sharing initiatives to enable teams and clients to independently maintain and enhance data solutions over time.

🎯 Requirements

• 5+ years of hands-on experience with Databricks development, supported by relevant certifications (proof required). • Proven expertise in building, optimizing, and troubleshooting production-grade ETL pipelines. • Strong experience designing and implementing medallion architecture models (raw, curated, and trusted layers) within Databricks environments. • Solid understanding of dimensional data modeling to support business intelligence, enterprise reporting, and single source of truth initiatives. • Advanced expertise in orchestrating data ingestion, transformation, and integration workflows across multiple systems and data formats. • Ability to interpret operational requirements, convert them into technical solutions, and clearly communicate the business impact of engineering decisions. • Demonstrated ability to take ownership, work independently, and drive projects successfully in dynamic or ambiguous environments. • Experience with Azure Data Lake, Azure Data Factory, and related Azure services is considered a strong plus. • Strong communication and collaboration skills, with the confidence to provide constructive feedback, challenge assumptions, and advocate for best practices. • Ability to adapt quickly, stay results-oriented, collaborate effectively, maintain a positive attitude, and lead with empathy. • Actively contribute to a culture of collaboration, continuous improvement, knowledge sharing, and openness to innovation. • Demonstrated ability to provide meaningful insights and respectfully push back when needed, always focusing on achieving the best possible outcomes for the team and project.