JT
Data Engineer
JSR Tech Consulting
🇺🇸 United States
Hybrid
2 months ago
- Informatica
- AWS
- Devops
- CloudFormation
- Athena
- EMR
- RDS
- Redshift
- DynamoDB
- Step Functions
- IAM
- KMS
- Amazon EventBridge
- EC2
- SQS
- SNS
- CloudWatch
- Kinesis
- Airflow
- ETL
- ELT
- RBAC
- AWS IAM
- CI/CD
- Jenkins
- Python
- SQL
- Amazon RDS
- Aurora
- REST API
- Bitbucket
- Groovy
- SonarQube
- Artifactory
- Maven
- Gradle
- Docker
- Atlassian
- Jira
- Confluence
- IaC
- Test Automation
- System Design
- Unit Testing
- Agile
2 months ago
Hybrid 3 days/week in Newark, NJ.
Environment includes several Informatica products - data catalogue, market place, data lineage, data quality. As well as Denodo and Ataccama. Any experience with any of these tools are a big plus.
Qualifications:
• Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
• 8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool
• AWS Solutions Architect or AWS Developer Certification required
• Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail
• 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 implementation of data ingestion pipeline in AWS
• Knowledge implementing ETL/ELT for data solutions
• End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
• Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model
• Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins
• Programming experience with Python, Shell scripting and SQL
• Knowledge of analyzing data using SQL Stored procedures
• Build automated data pipelines to ingest data from relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
• Build Automated data pipelines to ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
• Good Experience of DevOps practice
• Experience with modern source code management and software repository systems (Bitbucket)
• Experience with programming languages (Python)
• Experience with scripting languages (Shell, Groovy)
• Experience with API deployment for tooling integration
• Experience using Jenkins, CloudBees (Pipeline as Code, Shared Libraries)
• The ability to document exceptions/issues/action plans/meeting minutes/lessons learned accurately and in a timely fashion
• Experience with administering DevOps tools in SaaS
• Experience using DevOps Tools (SonarQube, Artifactory etc.)
• Experience using build tools (Maven, MS Build and Gradle)
• Experience using containers (Docker)
• Experience using Atlassian suite (Jira, Confluence)
• Experience of Infrastructure as Code using CloudFormation
• Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
• Part of DevOps QA and AWS team focusing on building CI/CD pipeline
• Responsible for writing and maintaining Jenkins Pipelines
Responsibilities:
• 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 enterprise data platform
• Work in a team environment with product, QE/QA, and cross functional teams to deliver a project throughout the whole software development cycle.
• Responsible to identify and resolve any performance issues
• Keep up to date with new technology development and implementation
• Participate in code review to make sure standards and best practices are met
• Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress
• Software quality: The Agile developer is also responsible for the quality of the software he/she produces. The team takes responsibility for the quality of the work they produce instead of turning over some code to a separate and independent group for testing
• Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts
• Understanding user needs: This is about interacting with users as necessary to clarify requirements
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Data Engineer · JSR Tech Consulting