Offer summary

Qualifications:

Minimum 4 to 6 years of experience as an AWS Developer., Strong knowledge of Hadoop architecture and ecosystem, including HDFS, Hive, Spark SQL, and PySpark., Hands-on experience with AWS Big Data tools such as EMR, Glue, Athena, MSK/Kinesis, IAM, EC2, S3., Proficiency in Python scripting, version control tools like Git or TFS/Bitbucket, and AWS services like RDS, DynamoDB, Redshift..

Key responsibilities:

Develop and maintain big data solutions on AWS using various tools and services.

Design and implement data storage, processing, and analysis workflows.

Collaborate with teams to optimize data pipelines and ensure data security.

Utilize AWS and open-source big data technologies to support data-driven projects.

Job description

Location : Bangalore

Mandatory :
• Minimum of 4 to 6 years of relevant work experience as AWS Developer
• Good knowledge of Hadoop Architecture and its ecosystem and possess experience in data
storage HDFS, writing queries HQL or Spark SQL, data processing and analysis using Pyspark
• Strong hands on Experience in AWS Big data tools EMR, Glue, Athena, MSKKinesis, IAM, EC2, S3
• Strong hands on Experience in AWS Databases RDS, Dynamo DB, RedshiftSpectrum,
•Strong hands on Python script programming using Jupiter notebook
•Experience of version control tools like Git, TFSBit Bucket
• Knowledge on AWS Aurora, Neptune, SNS, SQS, Redis, Cloud formation, Lambda, VPC, Glacier, EBS, EFS, Cloudwatch
• Knowledge of CICD, Docker, Terraform, RabbitMQApache Kafka
• Working Knowledge of Presto DB, Apache Spark, Apache Hive, Apache Hudi and Delta tables
• Certified in ‘AWS Solution Architect’.

Good To Have :• Nice to have knowledge of AWS Data lake formation
• Hive, Presto, Flink connectors.
• Knowledge of Medical domain ( Dicom,HL7, FHIR)