Data Engineer Specialist (Snowflake)

10 - 12 years

3 - 7 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a skilled Data Engineer Specialist with expertise in Snowflake to join our team in Hyderabad and Bangalore. The ideal candidate will have 10-12 years of experience designing and implementing large-scale data lake/warehouse integrations.
Roles and Responsibility
  • Design and implement scalable data pipelines using AWS technologies such as ETL, Kafka, DMS, Glue, Lambda, and Step Functions.
  • Develop automated workflows using Apache Airflow to ensure smooth and efficient data processing and orchestration.
  • Design, implement, and maintain Snowflake data warehouses, ensuring optimal performance, scalability, and seamless data availability.
  • Automate cloud infrastructure provisioning using Terraform and CloudFormation.
  • Create high-performance logical and physical data models using Star and Snowflake schemas.
  • Provide guidance on data security best practices and ensure secure coding and data handling procedures.
  • Job
  • Bachelor's degree in computer science, engineering, or a related field.
  • 10-12 years of experience designing and implementing large-scale data lake/warehouse integrations with diverse data storage solutions.
  • CertificationsAWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect (preferred), Snowflake Advanced Architect and/or Snowflake Core Certification (Required).
  • Strong working knowledge of programming languages such as Python, R, Scala, PySpark, and SQL (including stored procedures).
  • Solid understanding of CI/CD pipelines, DevOps principles, and infrastructure-as-code practices using tools like Terraform, JFrog, Jenkins, and CloudFormation.
  • Excellent analytical and troubleshooting skills, with the ability to solve complex data engineering issues and optimize data workflows.
  • Strong interpersonal and communication skills, with the ability to work across teams and with stakeholders to drive data-centric projects.
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