AWS Data Engineer

Our client is looking for AWS Data Engineer with a Contract in Bethlehem, PA below is the detailed requirement.

Position : AWS Data Engineer

Location : Bethlehem, PA

Duration : Long Term Contract

Responsibilities :

• Bachelor's degree in Computer science or equivalent, with minimum  10+Years of relevant experience.
• Must have a 3+ Years of experience as a Data Engineer
• Strong technical expertise in Python and SQL
• Good Experience with Big Data Tools such as Hadoop and Apache Spark (Pyspark)
• You must have a Solid experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR / Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail
• Responsible for building, test, QA & UAT environments using Cloud Formation.
• You should Build & implement CI / CD pipelines for the EDP Platform using Cloud Formation and Jenkins
• Must Implement high-velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred)
• Solid experience building solutions on AWS data lake / data warehouse
• Also Analyze, design, Development , and implement data ingestion pipeline in AWS
• Good Knowledge of implementing ETL / ELT for data solutions end to end
• Must have an ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
• You should Perform the Peer Code Review and, perform code quality analysis, and associated tools end-to-end for Prudential's platforms
• Using Git / bitbucket for efficient remote team working, storing framework, and developing test scripts
• Part of DevOps QA and AWS team focusing on building CI / CD pipeline
• Part of the release / build team and mainly worked on release management, CI / CD pipeline
• Deploy multiple instances by using cloud formation templates
• Designing, building, and maintaining efficient, reusable, and reliable code
• Ensure the best possible performance and quality of high-scale data applications and services
• Participate in system design discussions
• Independently perform hands-on Development and unit testing of the applications
• Collaborate with the development team and build individual components into the enterprise data platform
• Work in a team environment with the product, QE / QA, and cross-functional teams to deliver a project throughout the whole software development cycle.

With Regards

RajKumar,

Lorven Technologies, Inc.

101 Morgan Lane | Suite 209 | Plainsboro | NJ 08536

Tel : - 609-799-4202

Email :

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