Responsibilities

Data Engineering & Pipelines

· Build and maintain data ingestion pipelines from APIs and other data sources

· Write efficient Python and SQL for data transformation and processing

· Support ETL/ELT workflows, microservices and ensure timely data availability

· Troubleshoot pipeline failures and assist in performance improvements

Marketing Data Support

· Assist in ingestion and modeling of data from Meta Ads and similar platforms

· Help create datasets for:

o Campaign performance reporting

o Lead funnel tracking

· Develop familiarity with:

o Campaign structure (campaign/ad set/ad level)

o Basic performance metrics (CTR, CPC, CPA)

o Conversion tracking concepts

Business Collaboration

· Work with marketing and analytics teams to understand data requirements

· Support analysis related to lead quality and campaign performance

· Help translate business needs into data queries and datasets

Data Quality & Maintenance

· Implement basic data validation checks

· Monitor pipelines and resolve data issues

· Maintain documentation for pipelines and datasets

· Required Skills & Qualifications

· Core Technical Skills

· Proficiency in Python (data processing, API handling)

· Solid SQL skills

· Experience with data ingestion from APIs (basic handling of pagination, retries)





· Familiarity with workflow orchestration tools (e.g., Airflow or similar)

· Exposure to cloud data warehouses (BigQuery, etc.)

Ad Platform Exposure

· Basic understanding of Meta Ads platform concepts

· Familiarity with:

· Marketing metrics (CTR, CPC, conversions)

· Lead generation and funnel basics

· Willingness to learn deeper AdTech concepts

Soft Skills

· Good problem-solving and debugging skills

· Ability to work in a collaborative, cross-functional environment

· Clear communication of technical work and issues

Good to Have

· Exposure to other marketing platforms (Google Ads, etc.)

· Experience with tools like dbt or similar transformation frameworks

· Understanding of event tracking (GA4, etc.)

What Success Looks Like

· Reliable execution of data pipelines with minimal supervision

· Accurate and timely delivery of marketing datasets

· Growing understanding of marketing data and business use cases

· Effective collaboration with senior engineers and stakeholders

Perks:

● Day off on the 3rd Friday of every month (one long weekend each month)

● Monthly Wellness Reimbursement Program to promote health well-being

● Monthly Office Commutation Reimbursement Program

● Paid paternity and maternity leaves

📌 Data Engineer (India)
🏢 Smart Financial Decisions Made Simple
📍 India