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

📌 AWS Data Architect (Chennai)
🏢 Tata Consultancy Services
📍 Chennai