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Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Philippines

Offer summary

Qualifications:

5-8 years data proficiency in SQL and ETL, Experience with DBT or Airflow, Knowledge of BigQuery, Redshift technology, Proficient in Python and scripting languages, Experience in data modeling and workflow.

Key responsabilities:

  • Develop and manage curated datasets
  • Architect and implement data models & ETLs
  • Ingestion of data into BigQuery Data Lake
  • Transform data using DBT for reporting
  • Work cross-functionally with other teams
SAVii logo
SAVii Fintech: Finance + Technology Scaleup https://www.savii.io/
201 - 500 Employees
About SAVii
In response to the needs of our clients (heightened during the pandemic), SAVii's offering has expanded beyond financial assistance to include on-demand learning, mental health support, and relevant FREE insurance protection. SAVii is the translation of our evolution into a holistic tool for empowerment of your workforce. At SAVii, a salary is more than just take home pay - it’s the safest vehicle to financial empowerment. We support over 400,000 employees with safe, convenient and affordable loans, advances, mental health support, financial education and COVID insurance, with no risk or obligation for employers. Our 200+ employer partners get data insight that can help manage attrition and unlock engaged, productive employees. We’re to transform lives with you. Let’s make financial power at work a reality in your workplace!
See more SAVii offers

Job description

Our Company
SAVii was founded in 2017 as SAVii PH, since then, we have been revolutionizing the employee wellness landscape. Our primary goal is to transform lives everyday by offering 360° salary linked wellness services in emerging markets. We currently operate in the Philippines and India.

Through our employee benefits platform, we empower HR leaders with 360 degree salary linked financial wellness services that elevate team members personally and professionally. Fast forward to today, we are now the category leader in our pioneer market of the Philippines. We are always here to transform lives with you. Together, let’s make financial power at work a reality.

Our Culture
SAVii is all about people. We aim to transform lives everyday for our customers and our own team members. We promote a culture of people-centricity, engage deeply with our SAViiers and encourage everyone to bring their whole selves to work. Each member of our team has something unique to contribute, so we naturally embrace your individuality and recognize your unique perspective as an important catalyst of positive change. We are a remote-first organization, we work where we feel happy and productive. Beyond the monetary aspect, we offer a plethora of enabling benefits enhancing your personal and professional life. In SAVii, we Think Fast, and execute faster.

Our Values
Excellence is an Attitude. We are Licensed to Dare so that everyone can Learn and Succeed. Our shared culture of respect and Fast Executions are built on Integrity and knowing we are Stronger Together.

Our Commitment
SAVii is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all our SAViiers. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability and age. We believe that diversity in talent invites more opportunities for innovation that leads us to our goal to Transform Lives Everyday. As part of our commitment to a diverse and inclusive workplace, we strongly encourage individuals from all walks of life to apply.

About the role
The Data Engineering team acts as a central hub for transforming raw data into meaningful one and managing them as well. We are a small team of data professionals who uses their expertise in data engineering and programming to build systems that collect, manage and convert raw data into usable information for business analysts. We don't shy away from getting our hands dirty whenever it comes to anything data and we demand critical and collaborative debate when tackling problems.


Duties and Responsibilities
  • As a data engineer you will be responsible for developing and managing curated datasets, key business metrics, and reporting.
  • You will architect and implement data models and #ETLs for reporting. This includes ingestion of data from various source (MySQL, PostGres, MongoDB, etc) to BigQuery Data Lake then further transforming data using DBT for reporting purpose.
  • You should be a self-starter and you are comfortable working cross-functionally with other teams across Savii.

    • Must-have qualifications
  • 5-8 Years data proficiency of SQL querying and ETL jobs
  • Experience with DBT or Airflow 
  • Experience with data warehouse technology - big query, redshift etc.
  • Proficiency using Google Sheets, meta base or similar BI visualization tools
  • Experience using Python, Airflow, other scripting languages to automate data retrieval, manipulation and analysis
  • Curiosity and strong ability to drive insights from data – synthesizing not only what is happening by why it is happening
  • Work well in a fast-paced, ambiguous, and rapidly-changing environment
  • Experience on data modeling and workflow
  • Experience on the deployment of data pipelines
  • Experience on infrastructure maintenance
  • Experience on access management, data security and compliance
  • Experience with Github or Bitbucket

    • Nice-to-have qualifications
  • Experience with payments, financial data, accounting, or auditing
  • Experience in startup environment
  • Experience with Google Cloud

    • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Fintech: Finance + Technology
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Workflow ManagementData Warehouse SystemsData Pipeline ManagementPayment ScheduleSQL (Programming Language)GithubAuditingETOM (Enhanced Telecom Operations Map)Google Cloud Platform (GCP)Financial DataData SecurityPython (Programming Language)Apache AirflowBigQueryAccountingPreboot Execution EnvironmentBitbucketData ModelingInfrastructure Asset ManagementData EngineeringPrivileged Access Management

    Other Skills

    • Collaboration
    • Analytical Thinking
    • Verbal Communication Skills
    • Problem Solving
    • Curiosity
    Are you interested?

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