Description

You will design and build the enterprise data platform and analytical solutions to support internal clients and data-driven initiatives.

Responsibilities

• Design and develop enterprise data solutions using advanced data technologies and established architecture standards.
• Implement solutions for data migration, data delivery, and client pipelines.
• Configure Identity Access Management roles and policies to ensure platform security.
• Automate the deployment of AWS services and BI applications.
• Collaborate with engineering, architecture, and migration teams to inform strategy and design.

Required Skills

• 6+ years of experience in application/platform engineering, business intelligence, or analytics.
• 4+ years of experience architecting, managing, and implementing AWS services.
• Extensive experience with AWS services including S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.
• Proficiency with data warehousing platforms such as Snowflake or Redshift.
• Strong experience with database technologies including SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis.
• Hands-on experience with CI/CD tools and pipelines such as GitHub Actions, Jenkins, or AWS CodePipeline.
• Technical proficiency in SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis.
• Experience working within Windows, UNIX, or Linux environments.
• Knowledge of PowerShell, Kubernetes, and automation scripting.

Key Skills

Education

Any Graduate