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 following architecture standards and leading industry practices.
• Implement solutions for data migration, data delivery, and data pipelines.
• Configure Identity and Access Management (IAM) roles and policies to ensure secure platform access.
• Automate the deployment of AWS services and BI applications.
• Collaborate with data engineering, application development, and data science teams on project planning and implementation.

Required Skills

• 6+ years of experience in application/platform engineering, business intelligence, or analytics.
• 4+ years of experience in AWS cloud data engineering, management, or architecture.
• Extensive experience with AWS services including S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, and IAM.
• Proficiency with data warehousing platforms such as Snowflake or Redshift.
• Hands-on experience with SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis.
• Experience with CI/CD tools and automation scripting using GitHub Actions, Jenkins, or AWS CodePipeline.
• Technical competency with Kafka, Windows, and Linux environments.

Preferred Skills

• Experience prototyping new technologies and automating deployments via containerization and scripting.

Key Skills

Education

Any Graduate