AWS Data Engineer IV
AWS Data Engineer IV
Posted on :
16-10-2024
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Posted on :
16-10-2024
Job Description
Description:
AWS Data Engineer IV Core Technical Skills
- 5 years of AWS experience
- AWS services S3 EMR Glue Jobs Lambda Athena CloudTrail SNS SQS CloudWatch Step Functions QuickSight
- Experience with Kafka/Messaging preferably Confluent Kafka
- Experience with EMR databases such as Glue Catalog Lake Formation Redshift DynamoDB and Aurora
- Experience with AWS data warehousing tools such as Amazon Redshift and Amazon Athena
- Proven track record in the design and implementation of data warehouse solutions using AWS
- Skilled in data modeling and executing ETL processes tailored for data warehousing
- Competence in developing and refining data pipelines within AWS
- Proficient in handling both realtime and batch data processing tasks
- Extensive understanding of database management fundamentals
- Expertise in creating alerts and automated solutions for handling production problems
- Tools and Languages Python Spark PySpark and Pandas
- Infrastructure as Code technology Terraform/CloudFormation
- Experience with Secrets Management Platform like Vault and AWS Secrets manager
- Experience with Event Driven Architecture
- DevOps pipeline (CI/CD); Bitbucket; Concourse
- Experience with RDBMS platforms and Strong proficiency with SQL
- Experience with Rest APIs and API gateway
- Deep knowledge of IAM roles and Policies
- Experience using AWS monitoring services like CloudWatch CloudTrail ad CloudWatch events
- Deep understanding of networking DNS TCP/IP and VPN
- Experience with AWS workflow orchestration tool like Airflow or Step Functions
AWS Data Engineer IV Additional Technical Skills (nice to have but not required for the role)
- Experience with native AWS technologies for data and analytics such as Kinesis OpenSearch
- Databases Document DB Mongo DB
- Hadoop platform (Hive; HBase; Druid)
- Java Scala Node JS
- Workflow Automation
- Experience transitioning on premise big data platforms into cloudbased platforms such as AWS
- Strong Background in Kubernetes Distributed Systems Microservice architecture and containers
Core Responsibilities
- Provides technical direction guides the team on key technical aspects and responsible for product tech delivery
- Lead the Design Build Test and Deployment of components
- Where applicable in collaboration with Lead Developers (Data Engineer Software Engineer Data Scientist Technical Test Lead)
- Understand requirements / use case to outline technical scope and lead delivery of technical solution
- Confirm required developers and skillsets specific to product
- Provides leadership direction peer review and accountability to developers on the product (key responsibility)
- Works closely with the Product Owner to align on delivery goals and timing
- Assists Product Owner with prioritizing and managing team backlog
- Collaborates with Data and Solution architects on key technical decisions
- The architecture and design to deliver the requirements and functionality
- Skilled in developing data pipelines focusing on longterm reliability and maintaining high data quality
- Designs data warehousing solutions with the enduser in mind ensuring ease of use without compromising on performance
- Manage and resolve issues in production data warehouse environments on AWS
Core Experience and Abilities
- Ability to perform hands on development and peer review for certain components / tech stack on the product
- Standing up of development instances and migration path (with required security access/roles)
- Develop components and related processes (e.g. data pipelines and associated ETL processes workflows)
- Lead implementation of integrated data quality framework
- Ensures optimal framework design and load testing scope to optimize performance (specifically for Big Data)
- Supports data scientist with test and validation of models
- Performs impact analysis and identifies risk to design changes
- Ability to build new data pipelines identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications
- Ability to implement data pipelines with the right attentiveness to durability and data quality
- Implements data warehousing products thinking of the end users experience (ease of use with right performance)
- Ensures Test Driven development
- 5 years of Experience leading teams to deliver complex products
- Strong technical skills and communication skills
- Strong skills with business stakeholder interactions
- Strong solutioning and architecture skills
- 5 years of Experience building real time data ingestion streams (event driven)
- Ensure data security and permissions solutions including data encryption user access controls and logging
Employment Type
Full Time
Key Skills
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