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) · Strong 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