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Senior Data Engineer (AUS)
Tinybeans Sydney, FL
$102k-129k (estimate)
Full Time 1 Month Ago
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Tinybeans is Hiring a Senior Data Engineer (AUS) Near Sydney, FL

Tinybeans is a leading private photo-sharing app that connects families and turns moments into memories. We’re loved and trusted by millions of parents and families around the world since our founding in 2012, which is why we’ve got more than 150,000 5-star reviews in the Apple App and Google Play stores and users in almost every country in the world.
Helping parents capture and safely share those “blink-and-you’ll-miss-them” snapshots with friends and relatives near and far is the best job in the world, and it just so happens to be ours.

Your Part in Our Mission:

The Senior Data Engineer is responsible for making data available and digestible across the company. They proactively ingest, maintain data integrity and synthesize large volumes of data into actionable insights meaningful to the business. Additionally, they partner closely with product and marketing stakeholders to gather data requirements for projects and work with engineering colleagues to implement solutions for defining, documenting, QA-ing and making accessible data points to the business.
The Senior Data Engineer participates in all phases of the analytical lifecycle, from problem definition to sharing findings and providing the business with data-backed suggestions (in partnership with data analyst). They will formulate and apply modeling techniques ranging from basic descriptive statistics to more advanced diagnostic analytics to assist the business with problem-solving, and decision-making.
The Senior Data Engineer is a key component of the analytics and data engineering function in the company. They are the analytics experts for their colleagues and are tasked to educate and empower their colleagues to apply evidence-driven processes to prioritize projects, experiment, and iterate on learnings. This person will work remotely from Australia with a North American Team.

What You’ll Be Doing…

  • Own the data platform & data pipeline for our team End-to-End, to ensure robustness and traceability of our data

  • Work closely with our development team to ensure the business has full visibility into new and existing features and can confidently make decisions based off of them

  • Take over and scale our DBT set up to transform and optimize our analytics pipeline while developing testing scripts to ensure data accuracy.

  • Take over our BI visualization platform setup to design, build, and maintain dashboards to automate reporting and analyses that assist all departments while creating an opportunity for self-servicing the majority of their BI data needs.

  • Perform Ad-hoc analyses when necessary to help business stakeholders understand Tinybeans’ data and identify areas of opportunity.

  • Maintain comprehensive and easily-understood documentation around our analytics and reporting

  • Identify, assess, fix, document, consult and communicate quality issues in the way data is collected, stored, processed, or used

  • Increase data literacy in the company and keep up with the latest data-management technologies to continuously evaluate paid or open-source tools that will improve the efficiency of our data platform and data processes

Who We’re Looking For…
  • Demonstrate ability to work across various teams to achieve consensus on key business decisions

  • Willingness to roll up your sleeves and fix problems in a hands-on manner

  • Advanced problem-solving skills

  • Knowledge of best practices in data analysis

  • Outstanding attention to detail and a meticulous approach to work

  • Strong verbal and written communication skills to interact with business and technical teams

  • Intellectual curiosity and research abilities

Criteria For Success...
  • Partner with engineering to maintain sustainable, long-term data integrity and accuracy.

  • Build efficient, automated, and easy-to-understand dashboards that provide quick and accessible insights

  • Maintain and always improve DBT modeling internal best practices

  • Analyze data to find opportunities to improve user experience and identify critical problems.

  • Respond in a timely manner to requests and inquiries. Collaborate with the direct manager on priorities and unplanned work

  • Champion and embody the Tinybeans culture, mission, and values

Tinybeans Employee Perks include….
  • Offer you a hybrid work schedule but give loads of opportunities to connect with the team virtually, and sometimes, in-person

  • Welcome you to be part of a publicly traded company with a global reach

  • Offer you competitive compensation yearly stock options (All US & AUS FTE)

  • Benefits aligned with local Country/State

  • 6 years of proven working experience as a Data engineer or Business Data Analyst

  • Expert-level SQL skills

  • Experience in working with Snowflake or similar Data Warehousing tools

  • Experience in working with DBT and Fivetran

  • Experience in working with Tableau, and/or equivalent tools

  • Experience in working with Python, Jupyter or similar

  • Experience or interest in setting-up Infrastructure using AWS, IaC, or Containerization platforms like Terraform, Docker, Kubernetes

Even better if you have….

  • Experience in Data Governance, Master Data Management, Data Quality implementations/tools, or Data Standardization will

  • Experience in report automation

  • Experience building and scaling green field data pipelines historically

  • Experience with B2C subscription and/or advertising businesses

Location & Hours

  • Preference for Sydney, Australia, alongside CEO (hybrid; office location TBC)

  • The broader team is based in North America with a concentration on the East Coast. This role will require overlapping business hours (e.g, 6am AEST) and hours/days can be flexed accordingly.

  • Occasional international travel may be require

At Tinybeans, we work hard and are committed to building a diverse team, fostering an inclusive culture, and investing in equity across our organization. Together, with our different perspectives, experiences, and backgrounds, our people are successful in jobs and are better able to address the needs of our customers.

Job Summary

JOB TYPE

Full Time

SALARY

$102k-129k (estimate)

POST DATE

03/02/2024

EXPIRATION DATE

04/11/2024

WEBSITE

tinybeans.com

HEADQUARTERS

New York City, NY

SIZE

100 - 200

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The following is the career advancement route for Senior Data Engineer (AUS) positions, which can be used as a reference in future career path planning. As a Senior Data Engineer (AUS), it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer (AUS). You can explore the career advancement for a Senior Data Engineer (AUS) below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

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Create architecture for real-time, big data applications with minimal maintenance effort.

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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

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Provides successful deployment and provisioning of data solutions to production or other required environments.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

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