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Senior Data Engineer (Kafka/Flink)

Posted 5 days agoViewed

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💎 Seniority level: Senior, 5+ years

🏢 Company: Workato👥 501-1000💰 $200,000,000 Series E over 3 years ago🫂 Last layoff about 2 years agoSales AutomationCloud ComputingSaaSData IntegrationMarketing Automation

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 5+ years of work experience building & maintaining data pipelines on data-heavy environments (Data Engineering, Backend with emphasis on data processing)
  • Fluent knowledge of SQL.
  • Strong knowledge of common analytical domain programming languages such as Java, Scala and basic knowledge of Python.
  • Strong experience with Flink and Spark.
  • Experience with Data Pipeline Orchestration tools (Airflow, Dagster or similar).
Responsibilities:
  • Develop a new usage tracking/billing platform that will provide accurate near real-time data for both circuits.
  • Integrate the new platform smoothly with the back office, internal data warehouse, and in-product analytical and reporting tool called Workato Insights.
  • Address advanced use cases like usage forecasting, anomaly detection, and real-time alerts.
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🏢 Company: Workato👥 501-1000💰 $200,000,000 Series E over 3 years ago🫂 Last layoff about 2 years agoSales AutomationCloud ComputingSaaSData IntegrationMarketing Automation

  • 5+ years of work experience building & maintaining data pipelines on data-heavy environments
  • Fluent knowledge of SQL
  • Strong knowledge of common analytical domain programming languages such as Java, Scala and basic knowledge of Python
  • Strong experience with Flink and Spark
  • Experience with Data Pipeline Orchestration tools (Airflow, Dagster or similar)
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  • Confidence in using Git, K8s and Terraform
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  • Integrate the platform with back-office, internal data warehouse, and in-product analytical and reporting tool called Workato Insights
  • Work closely with the ML team
Posted 5 days ago
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🧭 Full-Time

🔍 Software Development

🏢 Company: Workato👥 501-1000💰 $200,000,000 Series E over 3 years ago🫂 Last layoff about 2 years agoSales AutomationCloud ComputingSaaSData IntegrationMarketing Automation

  • 5+ years of work experience building & maintaining data pipelines on data-heavy environments
  • Fluent knowledge of SQL
  • Strong knowledge of common analytical domain programming languages such as Java, Scala and basic knowledge of Python
  • Strong experience with Flink and Spark
  • Experience with Data Pipeline Orchestration tools (Airflow, Dagster or similar)
  • Experience with Data Warehousing Solutions (Snowflake, Redshift, BigQuery)
  • Confidence in using Git, K8s and Terraform
  • Good understanding of Data Privacy and Security (GDPR, CCPA)
  • Develop a new usage tracking/billing platform
  • Work closely with the ML team
  • Make architecture decisions
Posted 5 days ago
Apply

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