Snowflake Data Engineer

22 hours ago

Pune, Maharashtra, India YO IT Group Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Experience:
3 - 6 years

Responsibilities

  • Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness.
  • Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
  • Build and optimize data pipelines using technologies such as Elasticsearch, AWS S3, Snowflake, and NFS.
  • Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs.
  • Implement data quality checks and monitoring to ensure data integrity and identify potential issues.
  • Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes.
  • Stay current with industry best practices, including CI/CD, DevSecFinOps, Scrum, and emerging technologies in data engineering.
  • Contribute to the development and enhancement of our data warehouse architecture.

Requirements
Mandatory

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.
  • At least 3+ years of experience in Snowflake data warehousing technologies.
  • At least 3+ years of experience creating and maintaining Airflow ETL pipelines.
  • Minimum 3+ years of professional-level experience with Python for data manipulation and automation.
  • Working experience with Elasticsearch and its application in data pipelines.
  • Proficiency in SQL and experience with data modelling techniques.
  • Strong understanding of cloud-based data storage solutions such as AWS S3.
  • Experience working with NFS and other file storage systems.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

Skills: data warehouse,snowflake,pipelines,data,data engineering,python,aws,etl,etl,sql

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