Data Engineer - L2

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