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Alpha Mu Digital Ventures

New

Data Engineer

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Summary

A hands-on Data Engineer (2–3 yrs experience) who independently builds and maintains the analytics data stack: ingesting data via Fivetran, managing datasets in Google BigQuery, modeling with dbt, and creating initial Looker Studio dashboards, while ensuring data quality and documentation.

Alpha Mu Digital Ventures is an offshore and outsourcing software house which was founded with the goal of solving the greatest challenge offshore teams, ensuring quality of output. All candidates work with an experienced mentor who can help guide them and ensure that their output is in line with our clients expectations.

Job Description

We are looking for a hands-on Data Engineer with 2–3 years of experience who can work independently and take ownership of building and maintaining our analytics data stack. You will be responsible for ingesting data, transforming it into analytics-ready models, and supporting initial reporting and visualization needs.

This role is ideal for someone who is comfortable working in a lean environment, can manage tasks end-to-end, and enjoys solving data problems without heavy supervision.

Design, build, and maintain reliable ETL pipelines using Fivetran

Manage and optimize datasets within Google BigQuery

Develop, test, and maintain data models using dbt following analytics engineering best practices

Ensure data quality, accuracy, and consistency across pipelines

Create and support initial dashboards and reports using Looker Studio (free version)

Collaborate with stakeholders to understand data requirements and translate them into scalable solutions

Monitor pipeline performance and troubleshoot data issues proactively

Document data models, transformations, and workflows clearly

Qualifications

2–3 years of experience in a Data Engineering or Analytics Engineering role

Strong hands-on experience with:

BigQuery as a cloud data warehouse

dbt for transformations and data modeling

Solid understanding of SQL and data modeling concepts (fact tables, dimensions, star schemas)

Experience building basic dashboards or reports using Looker Studio

Ability to work independently and manage priorities effectively

Strong problem-solving and debugging skills

Additional Information

  • We have an assortment of snacks at the office.
  • Employees perks include remuneration for fuel, internet, and mobile.

Skills

Apply

See also

Data Engineering jobs by country — openings, pay and top skills →

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