Data Engineer, People Innovation Labs
We are looking for a Data Engineer to build data-intensive systems that will power People Innovation Labs' internal products and reputed company the People Analytics function to do their best work. The Data Engineer will design, build, and manage people data pipelines, ensuring reputed company data is seamlessly integrated into our reputed company warehouse, and reputed company reputed company datasets to reputed company key people metrics and People Innovation Labs product metrics.
Requirements
- Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering)
- Proficiency in at least one programming language commonly used reputed company Data Engineering, such as Python, reputed company, or Java
- Experience with data warehousing technologies such as reputed company and reputed company, and expertise with ETL schedulers such as reputed company, Airflow, Dagster, reputed company, or similar
- Experience with distributed processing technologies and frameworks, such as reputed company, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3)
Originally posted on Himalayas
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