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Senior Data Engineer

4 months ago

Kitchener, Canada Edjuster Full time

AtViral Nation,we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fueled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.

While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar

What you’ll do here:

  • Designing, building and maintaining efficient, reusable, and reliable architecture and code.
  • Lead a team: task delegation, organization, motivation and feedback
  • Conduct code reviews and deployment upon task completion
  • Participate in the architecture and system design discussions
  • Participate in developing data mesh architectures and building big data pipelines
  • Independently perform hands on development/coding and unit testing of the applications
  • Collaborate with the development and AI teams and build individual components into complex enterprise web systems
  • Work in a team environment with product, frontend design, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle
  • Architect and implement CI/CD strategy for EDP
  • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
  • Ensure the best possible performance and quality of high scale web applications and services
  • 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
  • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
  • Migrate data from AWS Dynamodb to relational database such as PostgreSQL
  • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
  • Work closely with the Data Scientist leads, CTO, Product, Engineering, DevOps and other members of the AI Data Science teams
  • Collaborate with the product team, share feedback from project implementations and influence the product roadmap.
  • Be comfortable in a highly dynamic, agile environment without sacrificing the quality of work products.

What you need to have:

  • Bachelor’s degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
  • 3+ years of experience as a Data application developer
  • 2+ years of experience withApache Kafkaor Confluent Kafka
  • Primary responsibilities are focused on the Analysis, Design, Development, and Testing of features utilizing Confluent Kafka.
  • Maintain and enhance Confluent Kafka architecture, Confluent Kafka design principles, and CI/CD Deployment procedures.
  • Experience with building streaming applications with Confluent Kafka
  • Experience leading a small to medium-sized team
  • AWS Solutions Architect or AWS Developer Certification preferred
  • Experience implementing software applications supporting data lakes, data warehouses and data applications on AWS for large enterprises
  • Solid Programming experience with Python, Shell scripting and SQL
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DataSync, DMS, MongoDB, PostgresQL Lambda, Step Functions, IAM, KMS, SM etc.
  • Solid experience implementing solutions on AWS based data lakes.
  • Experience in AWS data lake/data warehouse/business analytics/
  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
  • Knowledge of ETL/ELT
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
  • Experience developing business applications using NoSQL/SQL databases.
  • Experience working with Object stores(S3) and JSON is must have
  • Should have good experience with AWS Services – Glue, Lambda, Step Functions, SQS, DynamoDB, S3, Redshift, RDS, Cloudwatch and ECS.
  • Should have hands-on experience with Python, Django
  • Great knowledge of Data Science models
  • Plus to have knowledge on Snowflake

Nice to have:

  • Solid experience in AWS AI solutions such Recognition, Comperhind and Transcribe
  • Experience with Azure Data services
  • Experience in building MLOps Pipelines
  • Python, NodeJS, .NetCore, C#, Reactjs, RestAPI, Microservices, Postman, GraphQL, Mongo, Linux, Javascript, HTML5, CSS, Django

Viral Nation is committed to diversity, equity, and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.

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