Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
The ideal candidate possesses 6-8 years of data engineering experience with a solid understanding of Spark and SQL, and has data pipeline experience. Experience with Databricks is also required.
The Senior Data Engineer will play a crucial role in building out the data engineering team to support strategic pipelines and optimize for reliability, efficiency, and performance. Responsibilities include designing, building, and continuously improving end-to-end data pipelines and the surrounding platform, defining and evangelizing technical standards, mentoring other engineers, providing architectural and code reviews, and leading deep-dive performance-tuning initiatives.
Data analysis and research services provider
YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.