Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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Renous

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

📱 Media

🤝 B2B

Media • B2B

Renous is a digital publishing and executive‑community platform focused on India’s C‑suite. Its flagship editorial product, The Vantage, features first‑hand articles written by senior leaders (CFOs, CHROs, GCC leaders and others) across collections such as The Casebook, Executive Presence, The Long View and CHRO Journeys. Renous curates dossiers, portraits and collections, runs initiatives like Executive Boardrooms, The Renous Tracker and GCC Sentiment, and operates an invite WhatsApp channel for senior leaders. The offering centers on thought leadership, peer‑to‑peer perspectives and curated conversations for corporate leaders and capability centers.

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL processes • Collect, process, and store large volumes of data from various sources • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions • Optimize and tune database queries and processes for performance and efficiency • Implement data quality checks and validation procedures • Build and maintain data warehouses and data marts for reporting and analytics • Provide data access to data scientists and analysts for analysis and modeling • Evaluate and adopt new technologies and tools to enhance data processing capabilities • Document technical designs, processes, and procedures • Troubleshoot and resolve issues related to data pipelines, databases, and data infrastructure • Stay up-to-date with industry trends and best practices in data engineering

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • 0-5 years of experience in data engineering or a similar role • Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL) • Strong programming skills in at least one scripting language (e.g., Python, Java, Scala) • Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery) • Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica) • Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform) • Understanding of data modeling principles and techniques • Excellent problem-solving and analytical skills • Strong communication and collaboration skills, with the ability to work effectively in a team environment

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