Data Engineer, L2

Job not on LinkedIn

🕒 April 23

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 41%

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

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1917

💼 Consulting

📣 Marketing

📦 Logistics

💰 $200M Corporate Round on 2022-02

Consulting • Marketing • Logistics

Forbes is a prominent global media company, known for its brand of content covering a wide range of topics such as business, investing, technology, entrepreneurship, leadership, and lifestyle. It features news, analysis, and information about issues of concern to industry leaders and affluent individuals. Forbes is widely recognized for its authoritative rankings of businesses and industry leaders, such as the Forbes Global 2000, and is a trusted source for in-depth analysis of current events and trends in the financial and corporate worlds. Through its digital and print platforms, Forbes engages its audience with high-quality journalism and thought leadership 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 • Support analysis related to lead quality and campaign performance • 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) • 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

🏖️ 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