Sr. Consultant - Data Engineering

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. Delphi is seeking a skilled Senior Data Engineer to design and optimize robust data pipelines and solutions using Azure, Databricks, and Microsoft Fabric. In this role, you will collaborate with cross-functional teams to deliver high-performance, scalable, and secure data solutions that drive strategic decision-making. This is a hands-on engineering role with opportunities to contribute to solution architecture, mentor junior team members, and work on impactful data initiatives in a fast-paced, innovative environment. What You’ll Do: • Build Scalable Data Solutions: Design, develop, and deploy efficient data pipelines using Azure, Databricks, and Fabric. • ETL/ELT Development: Build and manage data transformation processes to support reporting, analytics, and machine learning. • Data Integration: Architect seamless data flow across systems, ensuring integrity, availability, and accessibility. • Collaborate Across Teams: Partner with data scientists, analysts, and business users to understand requirements and build solutions. • Optimize Data Workflows: Improve performance and scalability of data pipelines while keeping cost-efficiency in mind. • Cloud Platform Engineering: Leverage cloud-native tools for managing structured, semi-structured, and unstructured datasets. • Technical Mentorship: Provide guidance to junior engineers and promote engineering best practices. • Client Engagement: Engage with stakeholders to define data strategies and translate them into technical implementations. What You’ll Bring: • Experience: 5–8 years of hands-on experience in data engineering, working with large-scale data solutions in cloud environments. • Technical Proficiency: Strong in SQL, Python, Spark, and data pipeline orchestration tools. • Cloud Expertise: Deep working knowledge of Azure (Data Lake, Data Factory, Synapse) and Databricks. • Data Architecture: Experience designing data lakes, warehouses, and analytical data models. • Performance Tuning: Proven track record of optimizing data systems for speed, scalability, and reliability. • Stakeholder Collaboration: Ability to translate business problems into technical solutions. • Team Collaboration: Strong communication skills and a collaborative mindset; experience mentoring or leading junior engineers is a plus. What we offer At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.