Data engineer with Data Modeler ExpertiseLorven Technologies • Bethlehem, Pennsylvania, United States
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Data engineer with Data Modeler Expertise
Lorven Technologies • Bethlehem, Pennsylvania, United States
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job_description.job_card.job_descriptionImplement 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 Analyze, design, Development , and implement data ingestion pipeline in AWS Knowledge of implementing ETL / ELT for data solutions end to end ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift. Perform the Peer Code Review and, perform code quality analysis, and associated tools end-to-end for Prudential's platforms Create detailed, comprehensive, and well-structured test cases that follow best practices and techniques Understanding requirements, and data solutions (ingest, storage, integration, processing, access) on AWS Knowledge of implementing RBAC strategy / solutions using AWS IAM and Redshift RBAC model Knowledge of analyzing data using SQL Stored procedures Build automated data pipelines to ingest data from relational database systems, file system , and NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift Build Automated data pipelines to develop test plans, execute manual and automated test cases, help to identify the root causes, and articulate defects clearly Recreate production issues to help determine the issue and verify any fixes Conducting End to End verification and validation for the entire application Creating Jenkins CI pipelines to integrate Sonar / Security scans and test automation scripts 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
Hi
Our client is a currently looking for Data engineer with Data Modeler Expertise with a Long Term project in Bethlehem, PA (Hybrid) below is the detailed requirement.
Position : Data engineer with Data Modeler Expertise
Location : Bethlehem, PA (Hybrid)
Duration : Long Term Contract
Job Description :
- Bachelor's degree in Computer science or equivalent, with minimum 10+ Years of relevant experience.
- 5+ Years of experience as a Data Engineer
- Strong technical expertise in Python and SQL
- Experience with Big Data Tools such as Hadoop and Apache Spark (Pyspark)
- 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.
- Build & implement CI / CD pipelines for the EDP Platform using Cloud Formation and Jenkins
Key Skills :
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Data Engineer • Bethlehem, Pennsylvania, United States
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