Job Description
Job Description :
- 10+ years of experience in data, analytics, and architecture roles.
- Strong hands-on experience with AWS services, including but not limited to:
- S3, Redshift, RDS, DynamoDB
- Glue, EMR, Athena, Lake Formation
- Kinesis, MSK, Lambda, Step Functions
- SageMaker (or equivalent ML services)
- Expertise in data modeling, data lakes, data warehouses, and lakehouse architectures.
- Experience designing and operationalizing AI/ML pipelines.
- Strong knowledge of SQL, Python, and data processing frameworks (Spark, Presto, etc.).
- Solid understanding of cloud security, IAM, networking, and cost optimization.
- Strong architectural thinking and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work in fast-paced, cross-functional environments.
- 10+ years of experience in data, analytics, and architecture roles.
- Strong hands-on experience with AWS services, including but not limited to:
- S3, Redshift, RDS, DynamoDB
- Glue, EMR, Athena, Lake Formation
- Kinesis, MSK, Lambda, Step Functions
- SageMaker (or equivalent ML services)
- Expertise in data modeling, data lakes, data warehouses, and lakehouse architectures.
- Experience designing and operationalizing AI/ML pipelines.
- Strong knowledge of SQL, Python, and data processing frameworks (Spark, Presto, etc.).
- Solid understanding of cloud security, IAM, networking, and cost optimization.
- Strong architectural thinking and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work in fast-paced, cross-functional environments.
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