Lead Data Engineer
November 27
Description
• Lead Data Engineer plays a pivotal role at Rearc, optimizing data workflows. • Collaborate with teams to design and implement robust data solutions. • Embrace a DataOps mindset to build scalable and efficient data pipelines approaches. • Take the lead on managing and executing data engineering projects.
Requirements
• 10+ years of experience in data engineering, data architecture, or related fields. • Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions. • Hands-on experience with ETL processes, data warehousing, and data modeling tools. • In-depth knowledge of data integration tools and best practices. • Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). • Strong strategic and analytical skills to solve intricate data challenges. • Proven proficiency in implementing and optimizing data pipelines using modern tools and frameworks (e.g., Databricks, Delta Lake). • Exceptional communication and interpersonal skills for collaboration with teams and stakeholders.
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