Senior Data Engineer - AWS

 (6+ years exp)
$110k – $130k • No equity
Published: 1 month ago

Job Location

Job Type

Full Time

Visa Sponsorship

Not Available

Remote Work Policy

Onsite or remote

Hires remotely in

Preferred Timezones

Pacific Time, Mountain Time, Central Time, Eastern Time

Relocation

Allowed

Skills

noSQL
SQL
Informatica
SQL Server Integration Services (SSIS)
Microsoft Azure
SQL/PLSQL
DBA ORACLE
AWS

The Role

We’re focused on growing and monetizing the world's most passionate digital audiences by recruiting high performers who know how to go for gold, work with their team, solve problems in real-time, and speak up with creative ideas.

As a Senior Data Warehouse Engineer, you will support the Director of Data Warehousing in using cutting-edge technologies to build scalable DW software-as-a-service products that are used by industry leaders across the world.
You will leverage AWS to implement the newest serverless, data ingestion and processing patterns in the cloud. You will have the opportunity to experiment with evolving tools and learn new patterns from even more experienced data and software developers.

  • Execute the buildout plan of the warehousing product line.
  • Model and build data pipelining patterns to deliver the most modern DW products to our client cloud DBs.
  • Assemble large, complex data solutions that meet functional / non-function business requirements
  • Participate in data analysis and data architecture direction with valuable client-facing development insights
  • Author and maintain relevant documentation for developers, clients, and users
  • Work closely with account management in formulating delivery plans, schedules, and deadlines
  • Ensure proper monitoring and alerts are in place to detect issues as soon as possible.
  • Lead and plan sprints
  • Mentor data engineers in good techniques, patterns, processes, and practices
  • Peer review other team members’ code and learn and adapt from peer review of your own code You have been through many projects, have had successes and failures, and have learned from both, developing a robust toolbox for building data solutions, implementing patterns, and leading the next generation of data engineers. You are a superb communicator, able to gain understanding from both technical and non-technical audiences, and pride yourself on your interpersonal and relationship management skills. You enjoy being part of a results-oriented, cross-functional team, and the words ‘ fast-paced’ don’t intimidate you- you immediately think, GAME ON! Finally, at the end of the day, you’re a data nerd at heart and proud of it!

Requirements

  • Must be a Canadian resident or citizen/have work authorization
  • Must have a BS degree in Computer Science, Computer Engineering, or equivalent certificate program
  • Must have 5+ years of working on data solutions
  • You are comfortable working in cross-functional teams and can share insights and expectations with stakeholders, clients, team members, and various levels of management
  • You are comfortable digging into data problems, no matter the domain, and helping to organize understanding, generating solutions, and developing a plan to execute
  • You have a strong working knowledge of SQL, or MySQL/MSSQL/Oracle/PgSQL.
  • Tuning and optimization of SQL
  • Experience with cloud platforms and data pipelines in Azure or AWS
  • Experience with shell scripting (bash, kshell, PowerShell)
  • Experience with ETL frameworks or tools (SSIS, Informatica, Kettle or similar)
  • Experience with python packages to ingest data and perform cleansing
  • Experience working with REST APIs, flat files (csv and Excel)
  • Working knowledge with NoSQL platforms (MongoDB, Cosmos)
  • Strong experience breaking down user problems into stories and solutions
  • Experience working on iterative projects with continuous delivery pipelines
  • Experience building and optimizing data pipelines, architectures and data sets
  • Experience with python packages to ingest data and perform cleansing
  • DBA experience

https://pare.pro?refer=C4UYgEjOVpdbBAeVjUfi

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