Design and build scalable data pipelines using tools like Airflow, Spark, and Kafka
Monitor and implement systems for data quality and issue detection
Support data governance and lineage initiatives across data pipelines
Required Qualifications
3+ years of data engineering experience with on-premise systems (e.g., Spark, Hadoop)
Hands-on experience troubleshooting systems and pipelines for performance and scaling
Proficient in Python or Java/Scala and knowledgeable in SQL and various database/query dialects
Familiarity with CI/CD processes and software containerization
Desirable experience in data governance, data lineage, and data quality initiatives
Average salary estimate
$100000
/ YEARLY (est.)
min
max
$80000K
$120000K
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