Senior Data Engineer

Job not on LinkedIn

August 23

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Nova

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HR Tech • Recruitment • Productivity

Nova is a global top talent network that connects the top 3% of talent with each other and with leading professional opportunities to help them achieve their full potential. The network comprises more than 20,000 top performers from various industries and backgrounds. Nova provides a merit-based platform for professionals to connect, develop, and accelerate their careers through curated jobs, mentoring programs, and exclusive events. Using advanced technology, Nova empowers its members to find career development opportunities and helps partner companies hire the best talent more efficiently. Nova's mission is to create a more meritocratic and productive society by connecting high potentials worldwide.

11 - 50 employees

👥 HR Tech

🎯 Recruiter

⚡ Productivity

💰 Equity Crowdfunding on 2021-03

📋 Description

• Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines. • Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness. • Monitor and improve pipeline performance, troubleshoot issues, and implement best practices. • Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations. • Partner with business teams to gather requirements and translate them into technical solutions. • Build and maintain PowerBI dashboards and reports that drive business decisions. • Develop new data models and enhance existing ones to support advanced analytics. • Transform complex data findings into clear, actionable insights for various departments.

🎯 Requirements

• Programming & Query Languages: Strong proficiency in Python, SQL, and PySpark. • Big Data Platforms: Experience with cloud data platforms including Snowflake, BigQuery, and Databricks. Databricks experience highly preferred. • Orchestration Tools: Proven experience with workflow orchestration tools (Airflow preferred). • Cloud Platforms: Experience with AWS (preferred), Azure, or Google Cloud Platform. • Data Visualization: Proficiency in PowerBI (preferred) or Tableau. • Database Systems: Familiarity with relational database management systems (RDBMS). • Version Control: Proficient with Git for code management and collaboration. • CI/CD: Hands-on experience implementing and maintaining continuous integration/deployment pipelines. • Documentation: Strong ability to create clear technical documentation. • Professional Experience: 3+ years in data engineering or closely related roles. • Language Requirements: Fluent English communication skills for effective collaboration with U.S. based team members. • Pipeline Expertise: Demonstrated experience building and maintaining production data pipelines.