AWS Data Architect

TCS Hiring for AWS Data Architect\n\nExperience Range: - 10 To 20 Years (Mandatory)\n(Note: Candidates below 9 years of IT experience shall not be considered)\nJOB LOCATION: Bengaluru, Chennai, Hyderabad, Pune, Kolkata, Delhi\n\nJOB DESCRIPTION\n\nMust Have Skills:\n\nDesign & Implement ETL/data pipeline and Data Lake/ Datawarehouse in AWS\n\nBuild 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\n\nExtensive 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.\n\nFamiliarity 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.\n\nDesign 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\n\nWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs\n\nCreate data tools for analytics and data scientist team members that assist them in building and optimizing products\n\nGood to Have Skills:\n\nIoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures\n\nCertified AWS Solutions Architect - Associate\n\nAny Professional/Specialty AWS certification\n\nCloud native development and deployment in prod\n\nData Analysis, maintenance, and support experience in cloud infra\n\nData migration and multi-region replication experience\n\nStrong concept of Data Lakehouse and Data Mesh architecture\n\nResponsibilities or Expectations from the Role:\n\nDesign 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.\n\nBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.\n\nWork 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.\n\nResponsible for the evaluation of technical risks and map out mitigation strategies\n\nExecute and implement all aspects of a cloud data migration initiative, including its impact on infrastructure, networks, and security for data projects\n\nMaintain day-to-day health of cloud data solutions, taking steps to ensure its productivity and optimization\n\nMinimum Qualification:\n15 years of Full Time Education\n\nInterested candidates kindly share your updated resume to immediately with the details below (Mandatory)\n\nName:\nContact No.\nEmail id:\nSkillset:\nTotal exp:\nRelevant Exp:\nFulltime highest qualification (Year of completion with percentage scored):\nCurrent organization details (Payroll company):\nCurrent CTC:\nExpected CTC:\nNotice period:\nCurrent location:\nPreferred Location:\nAny gaps between your education or career (If yes pls specify the duration):\nWill you be able to join within 30/45 days? (Yes/NO)