Data Engineer – L2

🕒 June 6

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Forbes Advisor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1917

🛡️ Insurance

💼 Consulting

✈️ Travel

Insurance • Consulting • Travel

Forbes Advisor is an online consumer finance and product advice platform operated by Forbes Media. It provides independent news, reviews, comparisons, guides and calculators across personal finance topics — including credit cards, banking, mortgages, loans, insurance, investing, taxes and cryptocurrency — to help consumers make informed financial decisions. The site monetizes through advertising, sponsored placements and affiliate partnerships while maintaining an editorial team that produces analysis, rankings and how-to content.

📋 Description

• 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 and lead funnel tracking • Work with marketing and analytics teams to understand data requirements • 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) • Good problem-solving and debugging skills • Ability to work in a collaborative, cross-functional environment • Clear communication of technical work and issues

🏖️ 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