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

[job_card.30_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

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 :

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

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

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