HCHP: Senior Data Engineer
ernicareersph
| Company | ernicareersph |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 9 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team. Why ERNI is the Perfect Place for You: 🏡 • International Exposure: Work with global clients on cutting-edge projects. • Inclusive Culture: Thrive in a collaborative and diverse work environment. • Career Development: Enjoy continuous learning and professional growth opportunities. 🤩Perks and Benefits: • Career Stability: Enjoy a stable career path with ample project opportunities. • Immediate Coverage: Private HMO and insurance benefits from day one. • Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites . • Comprehensive Benefits: Government-mandated benefits including 13th-month pay. • Skill Enhancement: Access free training and certifications. • Baby Basket: To welcome your newborn to the ERNI family. • Fruit Basket: Boost of vitamins during hospitalization. • Office Perks: Enjoy free snacks and coffee. 🔐Growth and Opportunities: • Free Training: Advance your skills through technical and non-technical training. • Challenging Projects: Engage in complex software projects across MedTech, Industry, Finance, and Transportation. • Supportive Environment: Benefit from a team dedicated to guiding and supporting your success. • Recognition and Advancement: Receive acknowledgment for your efforts and opportunities for promotion. • Open Communication: Experience transparency and value your input in our culture. ⏱Flexibility: • Hybrid Work Setup: Balance remote and in-person work for better work-life integration. 🎉Events: • Connect and Celebrate: Participate in a variety of events including leisure, summer, family, social, and year-end gatherings. 👋What are our wishes: Minimum 8 years of professional data engineering experience, including hands-on design and delivery of enterprise-scale data pipelines, data platforms, ETL/ELT processes, and analytics-ready datasets. Senior-level hands-on experience with Azure and Azure Databricks is required. Strong experience developing data engineering solutions using Databricks, PySpark, Spark SQL, Delta Lake, and SQL. Strong understanding of cloud-native data engineering patterns, including scalable ingestion, transformation, orchestration, monitoring, performance tuning, and production support. Experience building and maintaining data pipelines that process large volumes of structured, semi structured, and unstructured data from multiple source systems. Strong experience with data modeling, data marts, curated data layers, and business-facing datasets for reporting, analytics, and operational consumption. Strong ability to clarify requirements directly with stakeholders and translate business rules, data definitions, and process needs into technical implementation details. Experience with source-to-target mapping, data profiling, data validation, reconciliation, and data quality management. Experience with job orchestration and scheduling tools such as Azure Data Factory, Databricks Workflows, Airflow, or similar technologies. Strong understanding of data governance, access control, metadata, lineage, security, and compliance considerations in a cloud data environment. Experience with performance tuning and optimization of Spark jobs, Databricks clusters, SQL queries, and Delta tables. Strong troubleshooting, problem-solving, and root-cause analysis skills in production data environme
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