AWS Data Engineer

6 days ago


Charlotte, North Carolina, United States Brooksource Full time
Job Title: AWS Data Engineer

We are seeking an experienced AWS Data Engineer to join our team at Brooksource. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining large-scale data processing systems on AWS.

Responsibilities:
  • Design and implement data pipelines using AWS services such as S3, EMR, Glue Jobs, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions.
  • Develop and maintain data warehousing solutions using Amazon Redshift and Amazon Athena.
  • Collaborate with data scientists and analysts to design and implement data models and ETL processes.
  • Ensure data quality and integrity by implementing data validation and data cleansing processes.
  • Work closely with the product owner to align on delivery goals and timing.
  • Assist the product owner with prioritizing and managing the team backlog.
  • Collaborate with data and solution architects on key technical decisions.
Requirements:
  • 5+ years of experience with AWS services, specifically including AWS Redshift.
  • Experience with data modeling and executing ETL processes tailored for data warehousing.
  • Competence in developing and refining data pipelines within AWS.
  • Proficient in handling both real-time 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, and CloudWatch events.
  • Deep understanding of networking DNS, TCP/IP, and VPN.
  • Experience with AWS workflow orchestration tool like Airflow or Step Functions.
Preferred Skills:
  • 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 cloud-based platforms such as AWS.
  • Strong Background in Kubernetes, Distributed Systems, Microservice architecture, and containers.
Additional Requirements:
  • 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-user 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.


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