Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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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Seeking Alpha

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

💸 Finance

💰 $7M Series B on 2009-12

Consulting • Marketing • Finance

Seeking Alpha is the world’s largest investing community, powered by the wisdom and diversity of crowdsourcing. It connects millions of investors to discover and share investment ideas, discuss breaking news, and make informed investment decisions. The platform features a wide range of investment research, including stocks, ETFs, commodities, and cryptocurrency, with contributions from over 7,000 authors publishing thousands of investing ideas monthly. Seeking Alpha also offers exclusive tools and subscription plans to enhance investing strategies and provide real-time insights to individual investors.

📋 Description

• Identify and prioritize data engineering projects with data scientists, analytics teams, and stakeholders • Design, build, and maintain data pipeline architecture for extracting, transforming, and loading data from external APIs, data streams, and data stores • Monitor and optimize data infrastructure performance and reliability • Implement solutions to improve scalability, efficiency, and security • Stay current with data engineering trends and identify opportunities for organizational improvement and innovation • Solve challenging problems in a fast-paced, evolving environment while maintaining high quality • Implement data privacy and security requirements to comply with security standards and frameworks • Enhance the team's DevOps capabilities

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • 2+ years of proven experience developing large-scale software using an object-oriented or functional language • 5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses • Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code • Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose, Lambda, and EMR • Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL • Experience with data pipeline orchestration and scheduling using tools such as Airflow • Strong problem-solving skills and ability to work independently and as part of a team • High-level English - a must • A team player with excellent collaboration skills • Nice to have: Expertise with Vertica or Redshift, including query optimization and performance tuning • Nice to have: Experience with machine learning and/or data science projects • Nice to have: Knowledge of data governance and security best practices, including GDPR and CCPA • Nice to have: Knowledge of Spark internals, including tuning and query optimization

🏖️ Benefits

• Remote work options • Ongoing learning and career advancement opportunities • Flexible, balanced work environment • Perks supporting personal well-being and professional goals