Analytics Engineer



Data Science
Latambarcem, Goa, India
Posted on Wednesday, May 1, 2024


Hi! This is Yalo! We are on a mission to bring conversational commerce to the world...

Remember how it used to be to interact with businesses that knew and understood you, that could recommend exactly what you needed, and that with a simple message could get you what you wanted??? Yep... neither do we. That is why at Yalo we are marrying the scale of digital commerce with the personalization and simplicity of conversations to help companies delight their users.

We know that traditional SAAS companies focus on first world problems... we don't! Having started in Latin America, our roots are in Emerging Markets and therefore we care about bringing amazing experiences to a population that traditionally has been underserved, such as the small shop owner in Brazil that is ordering online for the first time.

If you're looking for a place to make things happen, learn fast, and impact emerging markets in a way that hasn't been done before, look no further. 💫

Come Join us in our mission of improving billions of lives through the power of conversational commerce!

Your mission 🚀

We are seeking a skilled Analytics Engineer with a solid experience in delivering clean data sets to end users, modeling data in a way that empowers end users to answer their own question about data. This person will be responsible for data structures, formats, construction of ETL’s and ideally has experience as a Data Analyst .

What are the responsibilities for this role?

  • Transforming, testing, deploying, and documenting data.
  • Applying software engineering best practices like version control and continuous integration to the analytics code base.
  • Help to design, build and maintain batch or real-time data pipelines in production.
  • Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
  • Help to design and maintain a semantic layer and collaborate in Data Governance.
  • Automate data workflows ideally in dbt Cloud.
  • Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
  • Partner with data scientists and data analysts to deploy machine learning and data models in production.
  • Participate in data monitoring about its performance and help to implement optimization strategies.
  • Collaboration: Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.
  • Continuous Learning: Stay updated with the latest trends and technologies in data systems, ensuring that our systems remain state-of-the-art.

Job Requirements (Must have)

  • Bachelor’s/Master’s degree in Computer Science, Information Systems, or a related field.
  • Minimum 2 years of Analytics Engineering/ Data Engineering..
  • Good experience in designing and building ETL/ELT models and data workflows.
  • Working knowledge on designing a BI semantic layer.
  • Good understanding of data structures, algorithms, and software design.
  • Advanced SQL skills and experience with relational databases and database design.
  • Experience working with BigQuery cloud Data Warehouse and other solutions like Snowflake/ Databricks.
  • Ideally working knowledge in object-oriented languages (e.g. Python).
  • Knowledge of data pipelines services like Fivetran.
  • Good understanding of batch and stream pipelines like Kafka.
  • Ideally, experience in cloud environments and good understanding of microservices and APIs.
  • Understanding of data pipeline and workflow management tools (e.g., Airflow).
  • Strong project management and organizational skills.
  • Excellent problem-solving, communication, and organizational skills.
  • Proven ability to work independently and with a team

Nice to have:

  • Collaborative experience in Data Governance and semantic layers.
  • Work experience as Data Analyst and with visualization tools like Looker and Power BI

Soft skills that matter to us:

  • Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.
  • Good attitude to act as a tech-lead - identifying the right resources, and supporting the team’s plan.
  • Excellent communication and collaboration skills.

What do we offer?

  • Unlimited PTO policy
  • Competitive rewards on the market range
  • Remote working is available (-+3 hours CT)
  • Flexible time (driven by results)
  • Start-up environment
  • International teamwork
  • You and nothing else limit your career here

We care,

We keep it simple,

We make it happen,

We strive for excellence.

At Yalo, we are dedicated to creating a workplace that embodies our core values: caring, initiative, excellence, and simplicity. We believe in the power of diversity and inclusivity, where everyone's unique perspectives, experiences, and talents contribute to our collective success. As we embrace and respect our differences, we strive to create something extraordinary for the benefit of all.
We are proud to be an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic. Our commitment to fairness and equality is a fundamental pillar of our company.

At Yalo, we uphold a culture of excellence. We constantly challenge ourselves to go above and beyond, delivering remarkable results and driving innovation. We encourage each team member to take initiative and make things happen, empowering them to bring their best ideas forward and contribute to our shared goals.