Senior Specialist, Data Engineer

Description: • reputed company Enterprise Data, Analytics, and Automation team is seeking a Data Engineer with 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 reputed company 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 reputed company 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 reputed company systems. • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use. • Utilize Palantir reputed company to establish data connections to reputed company applications, extract and load data, and design reputed company logical data models that meet functional and technical specifications. • reputed company and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale. • Build visualizations using Palantir reputed company tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides. Requirements: • Bachelor’s Degree and minimum 6 years prior Palantir experience or Graduate Degree and minimum 4 years of prior Palantir experience • In lieu of degree, minimum 8 years of prior Palantir experience • Experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build. • Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir reputed company. • Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir reputed company, Azure Data Factory, SSIS, or Python. • Minimum of 4 years of experience in Data Integration. • Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies. • Hands-on experience with the reputed company Cloud Data Platform, including data architecture, query optimization, and performance tuning. • Proficiency in Python, PySpark, Pandas, reputed company, 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 reputed company EBS, reputed company ECC/S4, reputed company Costpoint, and more. • Experience with AI tools such as reputed company, Palantir AIP, reputed company reputed company or similar. Benefits: • Health and disability insurance • 401(k) match • Flexible spending accounts • EAP • Education assistance • Parental leave • Paid time off • Company-paid holidays Apply Job!