AWS Data Architect

Overall Experience: 10+
Location: Chennai/Bangalore/Hyderabad
Notice Period: 0-90 Days
Skills Required:
Data Lake or Datawarehouse Architecture & Delivery ,Solution/technical architecture in the 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
Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in AWS · Build 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/technologies
Extensive 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 metrics · Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing products
Expectations from the Role
Design and implement the solution required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS data and analytics services/technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs and digital transformation goals and provide the cloud configuration expertise.
Responsible for the evaluation of technical risks and map out mitigation strategies
Execute and implement all aspects of a cloud data migration initiative, including its impact on infrastructure, networks, and security for data projects
Maintain day-to-day health of cloud data solutions, taking steps to ensure its productivity and optimization

Work arrangement
No