Senior Data Engineer (Snowflake)

Agivant is seeking a talented and passionate
Senior Data Engineer to join our growing data team. In this role, you will play
a key part in building and scaling our data infrastructure, enabling
data-driven decision-making across the organization. You will be responsible
for designing, developing, and maintaining efficient and reliable data
pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform,
Load) processes.

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 a variety of technologies, including
  Elastic Search, 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, 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.
  
• Fresher or OPT Data Engineering candidate who has strong focus on ELT/ETL
  processes
• Experience in Snowflake data warehousing technologies.
  
• Experience in creating and maintaining Airflow ETL pipelines.
  
• Experience with Python languages for data
  manipulation and automation.
  
• Working
  experience with Elastic Search 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.