Data Engineer - L2
Forbes
IndiaremotePosted 29 days ago
Skill Required
Data-EngineeringMarketing-AnalyticsETL-EngineeringAdTech-EngineeringData-Pipeline-EngineeringData-EngineerMid-Level-Data-EngineerAssociate-Data-EngineerData-Engineering-AnalystData-Engineer-JobsData EngineerPerformance Marketingdata engineeringMicroservicesGoogle AdsEngineeringMeta Adssimilar)debugginganalyticsBigQuerybuildingAirflowwrittenetc.)PythonCloudDesign PatternsAPIsdbtETLSQLandGoogle AnalyticsFulltime
Key highlights
- Role: Data Engineer (L2) focusing on Python and data ingestion pipelines.
- Required experience with Meta Ads ecosystem and digital marketing data.
- Core requirement: Proficiency in Python and strong SQL skills.
- Benefit: Day off on the 3rd Friday of each month.
- Benefit: Monthly Wellness Reimbursement Program.
- Collaborative environment with senior engineers and cross‑functional teams.
Role overview
Forbes Advisor, a new initiative under the Forbes Marketplace umbrella, delivers journalist‑ and expert‑written insights, news and reviews on personal finance, health, business, and everyday life decisions, helping consumers make confident, informed choices. The company is seeking a Data Engineer (L2) with solid Python experience and expertise in data ingestion pipelines, particularly within the digital marketing space and the Meta Ads ecosystem, to build and maintain pipelines that power marketing analytics, campaign reporting, and lead analysis.
Responsibilities
- 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
- Assist in ingestion and modeling of data from Meta Ads and similar platforms
- Help create datasets for campaign performance reporting
- Help create datasets for lead funnel tracking
- Develop familiarity with campaign structure (campaign/ad set/ad level)
- Develop familiarity with basic performance metrics (CTR, CPC, CPA)
- Develop familiarity with conversion tracking concepts
- 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
- Implement basic data validation checks
- Monitor pipelines and resolve data issues
- Maintain documentation for pipelines and datasets
Requirements
- 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.)
- 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
- Good problem-solving and debugging skills
- Ability to work in a collaborative, cross‑functional environment
- Clear communication of technical work and issues
Nice 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.)
Benefits
- 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
Additional details
- Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist‑ and expert‑written insights, news and reviews on all things personal finance, health, business, and everyday life decisions.
- The role contributes to building and maintaining data pipelines that power marketing analytics, campaign reporting, and lead analysis.
- Works closely with senior engineers and business teams to support data needs across performance marketing and growth.
- This role does not involve campaign execution (buying/bidding), but requires a working understanding of ad platforms, marketing metrics, and lead funnels.
- 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.
- Position level: Data Engineer (L2)
- Originally posted on Himalayas