We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, SQL, and PySpark.
- Experience - 10 to 12 years
Requirements
Key Responsibilities:
- Creation and support of data pipelines built on AWS technologies including Glue, Redshift, EMR, Kinesis and Athena
- Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS platform.
- Optimize data integration platform to provide optimal performance under increasing data volumes
- Support the data architecture and data governance function to continually expand their capabilities
- Experience in development of Solution Architecture for Enterprise Data Lakes (applicable for AM/Manager level candidates)
- Should have exposure to client facing roles
- Strong communication, inter-personal and team management skills
THE INDIVIDUAL
- Proficient in any object-oriented/ functional scripting languages: Pyspark, Python etc.
- Experience in using AWS SDKs for creating data pipelines – ingestion, processing and orchestration.
- Hands on experience in working with big data on AWS environment including cleaning/transforming/cataloguing/mapping etc.
- Good understanding of AWS components, storage (S3) & compute services (EC2)
- Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue).
- Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3)
- Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries
- Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB
- Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes.
- Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline
- Hands on experience with AWS CLI, Linux tools and shell scripts
- Certifications on AWS will be an added plus.
QUALIFICATION
- BE/BTech/MCA
- 10 to 12 years of strong experience in 3-4 of the above-mentioned skills.
Benefits
Work with one of the Big 4's in India
