Senior Data Engineer, Contractor – Financial Services

🕒 il y a 2 mois

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SunnyData

Site WebLinkedInTous les Emplois

51 - 200 employés

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

SunnyData est une entreprise de conseil en ingénierie des données et en intelligence artificielle, spécialisée dans Databricks. Elle aide les organisations à moderniser leurs plateformes de données, à migrer les anciens entrepôts de données et les lacs de données vers Databricks, et à opérationnaliser les initiatives d'IA/ML et de GenAI. La société offre des ingénieurs certifiés Databricks, des accélérateurs de migration, une gouvernance des données, des MLOps et une expertise sectorielle dans des domaines tels que les services de santé et les services financiers.

Description

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs. • You will guide customers to make the best technical decisions to achieve their goals • You will actively work across multiple customer accounts which you would need to track and report on their progress. • You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality solutions. • You will analyze sources to determine value and recommend data to include in analytical processes. • You will incorporate core data management competencies including data governance, data security and data quality. • You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • You will perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. • You will test data movement, transformation code, and data components.

🎯 Exigences

• 5+ years of related experience in data engineering and data product development. • Experience in one or more of the following: • - Data Engineering technologies (e.g., Spark, Hadoop, Kafka) • - Databricks platform - data engineering and/or ML ops experience would be a huge bonus • - Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO) • - Data Warehousing (e.g., SQL, OLTP/OLAP/DSS) • Solid understanding of the end to end data analytics workflow • Proven problem solving skills including debugging skills • Strong verbal and written communication skills • Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities • Excellent time management and prioritization skills. Knowledge of public cloud platforms AWS, Azure, or GCP would be a plus • Domain Knowledge: Background working in the Financial Services industry, preferably in a banking environment. • Regulatory Compliance: Understand industry compliance requirements and standards, specifically in banking IT landscapes • Nice to have: Databricks Certification

🏖️ Avantages

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI. • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making. • Career Growth: Opportunities for professional development and career advancement. • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.