Dimiour - Data Engineer - Snowflake

8 years

0 Lacs

Posted:4 weeks ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are seeking a skilled and motivated Data Engineer with 8+ years of experience to join our team. The ideal candidate should be experienced in data engineering on Snowflake, Azure -ADF, Microsoft MDS, SQL ,Data Pipelines with a focus on developing, maintaining the Data Analytics solutions.You will collaborate with cross-functional teams to deliver high-quality data solutions that meet business requirements.

Required Skills And Experience

  • Bachelor or Master degree in computer science, Data Science, Engineering, or a related field.
  • 8+ years of experience in data engineering or related fields.
  • Strong proficiency in SQL, Snowflake, Stored procedure, Views .
  • Hands-on experience with Snowflake SQL, ADF (Azure Data Factory), Microsoft MDS(Master Data Service).
  • Knowledge of data warehousing concepts.
  • Experience with cloud platforms (Azure).
  • Understanding of data modeling and data warehousing principles.
  • Strong problem-solving and analytical skills, with attention to detail.
  • Excellent communication and collaboration skills.

Bonus Skills

  • Exposure to CI/CD practices using Microsoft Azure DevOps .
  • Basic knowledge or understanding of PBI.

Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines using Azure Data Factory (ADF).
  • Build and optimize data models and data warehousing solutions within Snowflake.
  • Develop and maintain data integration processes, ensuring data quality and integrity.
  • Utilize strong SQL skills to query, transform, and analyze data within Snowflake.
  • Develop and manage stored procedures and views in Snowflake.
  • Implement and manage master data using Microsoft Master Data Services (MDS).
  • Collaborate with data analysts and business stakeholders to understand data requirements and deliver effective data solutions.
  • Ensure the performance, reliability, and security of data pipelines and data warehousing systems.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Stay up-to-date with the latest advancements in data engineering technologies, particularly within the Snowflake and Azure ecosystems.
  • Contribute to the documentation of data pipelines, data models, and ETL processes
(ref:hirist.tech)

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