IT Tech Lead

January 9

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OhioHealth

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OhioHealth is a not-for-profit healthcare system headquartered in Columbus, Ohio, dedicated to providing exceptional patient care and a wide range of medical services. With facilities spread across multiple locations, OhioHealth offers comprehensive healthcare services including cancer care, maternity, midlife clinics for women, virtual health appointments, and specialized care for transgender and LGBTQ patients. They also focus on patient education with health and wellness classes, support groups, and health quizzes. OhioHealth is committed to improving community health through various community relations and health initiatives. They provide resources such as price transparency, financial assistance, and patient rights information to enhance the healthcare experience for all patients.

Healthcare • Home Care • Rehabilitation • Sports Medicine • Outpatient

10,000+ employees

Founded 1891

⚕️ Healthcare Insurance

🧘 Wellness

📚 Education

📋 Description

• Looking for an experienced Lead Data Engineer with background in Informatica ETL and Cloud technologies. • In this senior role, tech lead will be responsible for overseeing the architecture, development, and maintenance of our data platform, ensuring data quality and efficiency. • Serve as the primary SME, within their respective functions, with deep knowledge of applications and platforms the team is responsible for. • Lead the design and implementation of ETL processes using various ETL tools and diverse data sources. Both batch and real-time data. • Develop and manage data solutions on cloud platforms (Azure) • Provide technical leadership and mentorship to a team of data engineers, ensuring best practices and high-quality deliverables. • Optimize data pipelines and systems for performance, scalability, and reliability. • Work closely with data analysts, data scientists, and other business stakeholders to understand data requirements and deliver effective solutions. • Maintain comprehensive documentation of data architecture/design, pipelines, and processes • Identify and implement improvements to data engineering practices and technologies

🎯 Requirements

• Minimum of 12 – 15 years of experience in data engineering, with a focus on ETL and Cloud technologies (can be less than 10 years) • Proficiency in Informatica ETL tools, SQL, and Azure Cloud platforms (preferably Azure but others acceptable) • Experience in Informatica IDMC - Architect, Design and develop ETL processes on IDMC and Informatica suite of tools. • Familiarity with MDM Architecture and Data Flow • Experience in potential migration from existing data platforms to Databricks, Microsoft Fabric • Must have working experience with Azure based Data Pipelining, Scheduling and Monitoring and pyspark with ability to debug troublesome pipelines. • Must have hands on expertise dealing with data pipelines • Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem. • High level of proficiency with database and data warehouse development, including replication, staging, ETL, stored procedures, partitioning, change data capture, triggers, scheduling tools, cubes, and datamarts. • Experience working with backend languages such as Python. • Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine • Expertise in at least one technology stack designing, developing, testing, and/or delivering complex software (i.e., Java, Python, Pyspark) • Excellent debugging, troubleshooting, and analytical skills • Strong analytical and problem-solving skills with the ability to own, troubleshoot and resolve complex data issues • Collaborate with Architects and Managers to develop Metrics & KPI’s • Identify any technical risks and forming contingency plans as soon as possible • Good communication and collaboration skills to work effectively with cross-functional teams. • Experience working in an Agile development environment preferred • Experience building data pipelines to support ML workflows a plus • Experience working with geographically distributed teams (different time zones)