Data Engineer with ITIL

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Engineer to join our team in New York NY (Need Onsite day 1 hybrid 3 days from office).

Our challenge

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will possess expertise in data pipeline development data warehousing and have a solid understanding of ITIL processes to support operational efficiency.

Responsibilities:
  • Design develop and maintain scalable data pipelines using SQL Python and PySpark.
  • Build and optimize data warehouses leveraging Snowflake for efficient data storage and retrieval.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Monitor and troubleshoot data workflows ensuring data quality and performance.
  • Document data processes and procedures following ITIL best practices.
Requirements:
  • 10 years of experience in data engineering or related roles.
  • Strong proficiency in writing complex queries for data extraction transformation and loading (ETL).
  • Experience in Python coding and PySpark frameworks.
  • Strong experience in SQL
  • Hands-on experience with designing implementing and managing data warehouses.
  • Deep understanding of Snowflake platform features architecture and best practices.
  • Experience with ITIL framework especially in Incident Management and Problem Management.
  • Experience in Servicenow or Jenkins
  • Proven experience handling incident resolution root cause analysis and problem tracking within ITSM tools.
Preferred Certifications:
  • ITIL Foundation or higher.
  • Snowflake Certification.
  • Any relevant certifications in big data Python or SQL.

Data Engineer to join our team in New York NY (Need Onsite day 1 hybrid 3 days from office). Our challenge We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will possess expertise in data pipeline development data warehousing and have a solid understanding ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala