Data Engineering Lead
2 weeks ago
Lead Data Engineer
Job Summary:L3Harris Enterprise Data, Analytics, and Automation team is seeking a highly experienced Lead Data Engineer to oversee enterprise-level data life cycle processes.
Key Responsibilities:- 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.
- 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.
- 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.
L3Harris Technologies is a leading provider of advanced defense and commercial technologies.
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