Job Profile

Highlights : Position Title : Data Engineer Exp : 2+ years Job Location : Nava Vadaj, Ahmedabad

Perks : 5 Days Working

Bi-weekly events

Paid sick leaves

Casual leaves & CL encashment

Employee performance rewards

Friendly work culture

Medical Insurance

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 straightforward, 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 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

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