AWS Data Architect

2 weeks ago


Mumbai, India Tata Consultancy Services Full time

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 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


Location : PAN India


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