
▷ [Only 24h Left] Data Engineer
2 days ago
Data Engineer
About RevX
RevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue. We're all about taking your app businesses to a new growth level. We rely on data science, innovative technology, and AI, and a skilled team, to create and deliver seamless ad experiences to delight your app users. That’s why RevX is the ideal partner for app marketers that demand trustworthy insights, a hands-on team, and a commitment to growth. We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results so you can scale your business: with real users, high retention, and incremental revenue.
About the Role
We are seeking a forward-thinking
Data Engineer
who can bridge the gap between traditional data pipelines and modern
Generative AI (GenAI) -enabled analytics tools. You'll design intelligent internal analytics systems using SQL, automation platforms like
n8n , BI tools like
Looker , and GenAI interfaces such as
ChatGPT ,
Gemini , or
LangChain .
This is a unique opportunity to innovate at the intersection of
data engineering ,
AI , and
product analytics .
Key Responsibilities
Design, build, and maintain
analytics workflows/tools
leveraging
GenAI platforms
(e.g., ChatGPT, Gemini etc.) and automation tools (e.g.,
n8n , Looker etc.).
Collaborate with product, marketing, and engineering teams to identify and deliver data-driven insights.
Use SQL to query data from data warehouses (BigQuery, Redshift, Snowflake, etc.) and transform it for analysis or reporting.
Build
automated reporting
and
insight generation systems
using visual dashboards and GenAI-based interfaces.
Evaluate GenAI tools and APIs for applicability in data analytics workflows.
Explore use cases where GenAI can assist in
natural language querying ,
automated summarization , and
explanatory analytics .
Work closely with business teams to enable
self-service analytics
via intuitive GenAI-powered interfaces.
Design and maintain robust data pipelines
to ensure timely and accurate ingestion, transformation, and availability of data across systems.
Implement best practices in
data modeling, testing, and monitoring
to ensure data quality and reliability in analytics workflows.
Requirements
3+ years of experience in data analysis or a related field.
Strong proficiency in
SQL
with the ability to work across large datasets.
Hands-on experience building data tools/workflows using any of the following:
n8n ,
Looker/LookML ,
ChatGPT API ,
Gemini ,
LangChain , or similar.
Familiarity with
GenAI concepts , LLMs, prompt engineering, and their practical application in data querying and summarization.
Excellent problem-solving skills and a mindset to automate and optimize wherever possible.
Strong communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders.
Nice to Have
Prior experience in
AdTech
(ad operations, performance marketing, attribution, audience insights, etc.).
Experience with
Python ,
Jupyter Notebooks , or scripting for data manipulation.
Familiarity with cloud platforms like
Google Cloud Platform (GCP)
or
AWS .
Knowledge of data visualization tools like
Tableau ,
Power BI , or
Looker
etc.
Why Join Us?
Work on the cutting edge of
GenAI and data analytics innovation .
Contribute to building scalable analytics tools that empower entire teams.
Be part of a fast-moving, experimentation-driven culture where your ideas matter.
For more information visit
www.revx.io
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