AWS Data Engineer

PwC India is Hiring AWS Data Engineer!!!

Relevant Years of experience: 3-8 Years

Location: PAN India

Education : B.E/Btech/Mtech/MCA/MBA-Full time only

In-depth experience with various AWS data services, including Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, and Amazon EMR, SQS, SNS, Step Functions, Event Bridge.

Ability to design, implement, and maintain scalable data pipelines using AWS services.

Strong proficiency in big data technologies such as Apache Spark and Apache Hadoop for processing and analyzing large datasets.

Hands-on experience with database management systems such as Amazon RDS, DynamoDB, and others.

Good knowledge in AWS OpenSearch.

Experience in data ingestion services like AWS AppFlow, DMS, AWS Glue etc.

Hands on experience on developing REST API's using AWS API Gateway.

Experience in real time and batch data processing in AWS environment utilizing services like Kinesis firehose, AWS Glue, AWS Lambda etc.

Proficiency in programming languages such as Python, PySpark for building data applications and ETL processes.

Strong scripting skills for automation and orchestration of data workflows.

Solid understanding of data warehousing concepts and best practices.

Experience in designing and managing data warehouses on AWS Redshift or similar platforms.

Proven experience in designing and implementing Extract, Transform, Load (ETL) processes.

Knowledge of AWS security best practices and the ability to implement secure data solutions.

Knowledge of monitoring logs, create alerts, dashboards in AWS CloudWatch.

Understanding of version control systems, such as Git.