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, Dynamo DB
Glue, EMR, Athena, Lake Formation
Kinesis, MSK, Lambda, Step Functions
Sage Maker (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, Dynamo DB
Glue, EMR, Athena, Lake Formation
Kinesis, MSK, Lambda, Step Functions
Sage Maker (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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