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.
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time