Lead Data Engineer

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Logo of L3Harris Technologies

L3Harris Technologies

L3Harris Technologies is a global leader in aerospace and defense technologies. The company specializes in providing advanced communication, electronic systems, and software solutions for a wide range of applications in defense and civil markets. With a strong commitment to innovation, L3Harris supports military forces, government agencies, and commercial enterprises to enhance their operational capabilities.

📋 Description

• L3Harris Enterprise Data, Analytics, and Automation team is seeking a Lead Data Engineer with extensive experience in managing enterprise-level data life cycle processes • This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation • The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise • This position will support the company’s modern data platform, focusing on data pipeline development and maintenance, platform design, documentation, and user training • The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data • Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability • Create, update, and optimize data connections, datasets, and transformations to align with business needs • Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use • Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications • Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale • Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides

🎯 Requirements

• Bachelor's with 9 years prior experience in data engineering • Graduate Degree with 7 years prior experience in data engineering • In lieu of a degree, minimum of 13 years of prior related experience in data engineering • 1 year experience with designing and developing data pipelines in PySpark, Spark SQL, or Code Build • 1 year experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry • 2 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python • 3 years of experience in Data Integration with Palantir • Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies • Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning • Proficiency in Python, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation • Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable • Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more

🏖️ Benefits

• health and disability insurance • 401(k) match • flexible spending accounts • EAP • education assistance • parental leave • paid time off • company-paid holidays

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