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A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting.
In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Role Overview: Design the AWS datalake architecture and develop a robust integration framework that supports efficient data ingestion and processing.
Key Responsibilities:
Required technical and professional expertise
Job ID: 151948605
Skills:
snowflake , IAM roles & policies, monitoring & alerts, Kafka / big-data technologies, snowflake , AWS, Jenkins, AWS CodePipeline, Terraform, cloud security, S3, Ec2, RDS, Lambda, Kinesis, Emr, Vpc, Iam, Cloudformation, Sql, Python, PostgreSQL, MongoDB, Redis, Kubernetes, BI, Data Architect, secure, scalable enterprise data platforms, automate deployments, GitHub Actions, Monitoring, Step Functions, Aurora/RDS, Docker or AWS Fargate, OpenAI, Strong troubleshooting, communication, Cloud/Application/Platform Engineering, or Analytics, Cloud Engineer, Snowflake features, including Cortex AI
Skills:
Data Architecture, Data Modeling, Dimensional Modeling, Star Schema, Snowflake Schema, Data Vault 2.0
Skills:
snowflake , Pyspark, Apache Airflow, Gcp, Amazon Redshift, Azure, Kubernetes, Python, Aws S3, Apache Iceberg, Data Engineering Architecture, dbt Core, Databricks Lakehouse, Apache Polaris, Unity Catalog, DuckDB, Delta Lake
Skills:
data engineering , Artificial Intelligence, Python, Sql, Pyspark, Devops, Api Integration, Microservices, Terraform, Azure Devops, Github, Kubernetes, Docker, Solution Architecture, Effort Estimation, Rfp, Rfi, Requirement Gathering, Solution Design, Cloud Architecture, Aws, Azure, Gcp, Data Architecture, Databricks, Etl, Resource Planning, Proposal Development, Stakeholder Management, Llm