Data Engineer (Data Build Tool)

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in Metro Manila
Remote
Senior level
Other
The Role
The Data Engineer will build and manage data infrastructure, create data pipelines for scalability, and develop visualizations and BI dashboards, focusing on ETL processes, data transformations, and reporting. Responsibilities include migrating data to Google BigQuery, working with DBT, and engaging in model building for growth forecasting and ad-hoc analytics.
Summary Generated by Built In

We’re obsessed with growth. From enabling companies to flourish, to helping careers bloom. 

 

SupportNinja was founded in 2015 to help companies solve for scale and connect them with a wider world of talent. Our vision is to show the world a better way to grow by developing the best people, implementing the latest technology, and challenging the status quo.

 

SupportNinja is a new kind of BPO. Our vision is to show the world a better way to outsource by developing the best people, implementing the latest technology, and challenging the status quo. SupportNinja helps fast-growing tech companies by providing around-the-clock outsourced support, lead generation, customer service and community management. 

 

As a Ninja, you are guaranteed a culture dedicated to our core values: Employee Focused, Always Be Humble, Improve Everyday, Compassionate Candor, and Collectively Bring Joy.


Data Analytics Engineer will focused on building data infrastructure, designing data structures, and building pipelines for scalability. The role involves creating visualizations and BI dashboards using Python, particularly with a tool called Hex.

What does a day in the life of a Data Analytics Engineer look like?

  • ETL, DBT Models, Documentation:
  • Migrate Data from our Sources of Truth into Google BigQuery
  • Transform data structures to enable quick analytics and efficient aggregation (DBT, SQL)
  • Document data definitions and structures
  • Coordinate with Analytics Leadership to identify data tracking SOPs
  • Data Visualization and Reporting:
  • Create metrics using DBT semantic layer
  • Build models and visualizes using Hex and Python
  • Service ad-hoc reporting/analytics requests for the team
  • Potential Later Projects:
  • Build Growth Forecasting Models
  • Create a data pipeline into a vector database for semantic search applications

What are the required qualifications of a Data Analytics Engineer?

  • At least 5 years of relevant experience, adaptable to new data frameworks.
  • Advanced ETL, SQL, data architecture, metric building, strong Python skills
  • Advanced data visualization, experience with Plotly, and DBT (particularly DBT semantic layer) is highly preferred
  • Willing to work on a night shift
  • Can start ASAP

Ninja Perks and Benefits

*Full time employees

● Competitive compensation

● Adherence to government-mandated benefits

● Retirement Savings Program with Company Matching

● Life Insurance

● HMO on day 1

● Paid time off, birthday leave

● Bonus and incentive plans

● Opportunities for skills training and personal and professional development

● Employee Referral Program

● Beautiful office space (for onsite employees)

● Free lunch provided daily (for onsite employees)


Experience infinite fun so you can have infinite growth. Discover A Better Way to Grow! Are you ready?

 

Disclaimer:

The duties and responsibilities listed above describe the post as it is in general terms and are not definitive. The post holder is expected to accept any reasonable alterations that may from time to time be necessary.

 

SupportNinja is proud to be an Equal Employment Opportunity employer and we do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, veteran status, disability, or other applicable legally protected characteristics under federal, state, or local law.

Top Skills

Python
SQL
The Company
HQ: Dallas, TX
1,063 Employees
On-site Workplace
Year Founded: 2015

What We Do

SupportNinja provides customer experience and back-office support services for tech companies and startups around the world.

Phone | Chat | Email | Lead Gen | Content Moderation | Tech Support | Much More

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