Data Engineer

• *Key Responsibilities**

• *Build \& Run the Data Pipeline (Core of this Role)**

• Connect live data sources — Google Ads, Meta Ads, Facebook Ads, CRM, and internal systems — directly via APIs, replacing all manual CSV exports with automated, reliable feeds
• Own the full ETL process: extract data from multiple platforms, clean and standardise it, and load it into a central database (Supabase)
• Build and maintain automated workflows so dashboards update on their own — no manual effort needed
• Set up data quality checks and alerts so any issue in the data is caught automatically before it reaches the client

• *Build the Dashboards**

• Build clear, structured dashboards that connect directly to live data — so numbers update automatically without anyone touching them
• Make sure every client account's data is accurate and trustworthy at all times
• Identify and fix reporting discrepancies at the source, not just on the surface

• *Analyse \& Advise**

• Read the data, spot trends and problems, and give a clear view on what is working and what is not
• Turn findings into simple, actionable recommendations that a non\-technical person can understand and act on

• *Must\-Have Requirements**

• **Digital Marketing Knowledge** — Mandatory: Proven hands\-on experience working with Google Ads, Meta Ads, and Facebook Ads data — understanding metrics like ROAS, CPA, CTR, spend, and conversions
• **ETL \& Workflow Automation** — Mandatory: You have built real automated pipelines and workflows end\-to\-end, not just assisted in building them
• **Automation Tools:** Hands\-on experience with tools like N8N, Make.com, Zoho Flow, or similar to automate data movement and remove manual steps
• **Strong SQL**: Daily working knowledge — joins, aggregations, data cleaning, and optimisation
• **Python**: For scripting, automation, and pipeline work
• **Database Experience**: Hands\-on with Supabase, PostgreSQL, BigQuery, or Snowflake
• **API Connections**: Experience connecting platforms to databases using REST APIs
• **Data Modeling:** Ability to design clean, maintainable table structures for reporting

• *Nice to Have**

• Prior experience working inside a digital marketing agency
• Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift)
• A portfolio of dashboards with real business outcomes they drove

Pay: ₹500,000\.00 \- ₹1,000,000\.00 per year

Application Question(s)

• Which automation tool have you used to schedule data pipelines?
• How many years of experience do you have as a Data Engineer?
• Do you have experience with digital marketing services?

Work Location: In person