Job Description

Role Expectations:

  • Architect and lead the development of complex, scalable data pipelines using technologies like Scala, Spark, Python, and Airflow.
  • Set technical standards and best practices across data engineering teams. Oversee AWS-based data infrastructure (S3, Redshift, Glue, EMR), ensuring reliability and performance at scale. Lead real-time streaming solutions (Kafka, Kinesis, Snowplow), optimizing for low-latency and high throughput.
  • Mentor and guide teams on advanced system design, data observability, and best practices. Drive DataOps initiatives, focusing on data quality, lineage, and governance.
  • Collaborate with cross-functional teams to align technical architecture with business goals. Lead the integration of ML platforms like SageMaker for advanced analytics.
  • Champion operational excellence through incident resolution and proactive monitoring.

Qualifications:

  • 8...

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