Senior Data Engineer-Foundational Projects

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About the position

Responsibilities

  • Designs data patterns that support creation of datasets for analytics; implements calculations, cleanses data, ensures standardization of data, maps/links data from more than one source
  • Performs data validation and quality assurance on work of junior peers and write automated tests
  • Maintains/streamlines existing data pipelines end to end
  • Builds/supports complex data warehousing pipelines into cloud platform GCP/AWS, data integrations, data streaming solutions, predictive model implementations with prompt engineering for AI Models, building out data quality checks into data pipelines
  • Identifies more complex data from upstream sources to enable new capabilities
  • Engages in testing of the technical solutions to ensure data integrity and system functionality of own work and broader system, E2E
  • Builds large-scale batch and real-time data pipelines with big data processing frameworks
  • Designs/develops data integrations to support application engineering and system integration
  • Designs/develops/maintains large data pipelines; diagnoses/solves production support issues
  • Creates documentation and training related to technology stacks and standards within assigned team
  • Designs/implements monitoring capabilities based on business SLA and data quality
  • Uses/contributes to refinement of Digital Engineering-related tools, standards, and training
  • Engages/collaborates with external technical teams to ensure timely, high-quality solutions
  • Engages with shared services teams and vendors when necessary
  • Works closely with Product, Data Science, Application, and Analytics teams to develop a clear understanding of data and data infrastructure needs; assists with data-related technical issues; ensures optimal data design and efficiency
  • Performs full SDLC process, including planning, design, development, certification, implementation, and support
  • Interacts with Product, Business, Analyst stakeholders to confirm data quality, discuss requirements, and support data testing
  • Peer reviews other team members code; learns/adapts from peer review of own code
  • Contributes to overall design, architecture, security, scalability, reliability, and performance
  • Mentors/provides support to junior Data Engineers
  • Builds more complex data models to deliver insightful analytics; ensures highest standard in data integrity
  • Knowledge in machine learning concepts

Requirements

  • 5+ years of experience related to data engineering
  • A related degree or comparable formal training, certification, or work experience
  • Experience in Lean Startup or Agile development methodologies
  • Experience working in large scale infrastructure, large data sets, and mission critical SLAs

Nice-to-haves

  • Advanced knowledge of Lean Startup / Agile methods
  • Knowledge of business intelligence, analytics and reporting, and application integration
  • Knowledge of data architectures such as data warehouse, data lake, and data mesh and when to apply
  • Strong working understanding of data architecture and data modelling best practices and guidelines for various data and analytic platforms
  • Strong working understanding of coding standards and design principles/patterns
  • Strong prioritization skills
  • Strong verbal/written communication and data presentation skills
  • Ability to deliver on ambiguous projects with incomplete information
  • Ability/willingness to learn new technologies as they emerge
  • Ability to calmly work under pressure
  • Ability to work a flexible schedule as needed
  • Ability to collaborate across multiple work locations
  • Ability to work within a team, and willingness to take feedback from peers and mentors
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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

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With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

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Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

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The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...

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