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Technical Skill Set: AWS Data Architect with strong experience in Designing and Implementing Data Lake, Data Warehouse and Data ingestion and processing pipeline using various AWS services. Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse

Experience Range: 10+ Years in Data Lake or Datawarehouse Architecture & Delivery

Relevant Experience: 8+ Years in Solution/technical architecture in AWS on Big Data/ Analytics/ Data Lake / Datawarehouse – VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing, Redshift, AWS EMR , Snowflake, RDS, Aurora, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, API GW, Kafka, Stream Sets, Attunity, Golden Gate, Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala

Must Have Technical Competencies:

Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in AWSBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS data and analytics services/technologiesExtensive hands-on experience implementing data ingestion and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing, Redshift, Snowflake, RDS, Aurora, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, PySpark, Glue, API GW, etc.Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Stream Sets, Attunity, Golden Gate AWS EMR , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metricsWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needsCreate data tools for analytics and data scientist team members that assist them in building and optimizing product