Senior Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 10 jours

🗣️🇺🇸🇬🇧 Anglais requis

Amazon Redshift

Azure

BigQuery

Cloud

ETL

Tableau

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Logo of Capital Bank

Capital Bank

51 - 200 employés

Fondée en 2008

🏦 Banque

💸 Finance

Banking • Finance

Capital Bank est une banque axée sur le service des clients hispanophones, utilisant le slogan « La capitale de vos finances ! ». L'entreprise est identifiée sur LinkedIn dans le secteur bancaire et sa description LinkedIn met l'accent sur la culture organisationnelle — soulignant les perceptions, valeurs, attitudes et schémas d'interaction au sein de l'organisation. Aucune information sur les produits, la taille ou la distribution n'est fournie dans les informations disponibles.

Description

• Serve as the expert for ETL and DB solutions, collaborating with business stakeholders and IT teams to define requirements, gather data, and implement optimized data solutions. • Design, implement, and maintain data systems in Snowflake to ensure data scalability and accessibility. • Implement and manage data lakes and data warehouses, creating pipelines and data models to enable efficient analytics and reporting. • Establish and document strategies for managing data transfer processes, including secure file transfers (SFTP), batch data processing, and real-time streaming. • Build and optimize ETL pipelines for data extraction, transformation, and loading into operational databases or analytical platforms. • Integrate and support data visualization tools such as Power BI, Sisense, Google Looker, Tableau, or similar platforms to enable actionable insights for business stakeholders. • Develop and maintain optimized data models for dashboards and reporting, ensuring compatibility with visualization tools. • Plan, coordinate, and implement database migrations, upgrades, and patches with minimal downtime. • Define and enforce database governance policies, including data integrity, security, and compliance with regulatory requirements. • Analyze and resolve database performance issues by optimizing queries, indexes, and schema designs. • Partner with vendors to evaluate, select, and implement database tools, services, and technologies; stay informed about product roadmaps and industry trends. • Develop disaster recovery and high-availability solutions, including replication, clustering, and failover.

🎯 Exigences

• Bachelor’s degree or higher in Computer Science, Information Systems, or a related field. • 6+ years of experience in data engineering, ETL, database management with experience in cloud-based databases and financial services preferred. • Experience in Database Administration (DBA), managing and optimizing databases for performance and security. • 3+ years of experience designing and building data lakes and data warehouses using platforms like Azure Fabrik, Snowflake, Amazon Redshift, or Google BigQuery. • 2+ years of experience using data visualization tools like Power BI, Sisense, Google Looker, Tableau, or similar platforms. • Experience with managing data transfers and file processes, including SFTP, secure data pipelines, and real-time or batch data movement. • Experience in proactively identifying, addressing, and monitoring data quality issues, adhering to established data quality standards. • Excellent communication skills and the ability to collaborate effectively across teams and stakeholders, explain technical concepts to non-technical stakeholders.

🏖️ Avantages

• Comprehensive benefits package including Medical, Dental, Vision, Company Paid Life Insurance, Disability Insurance, and more? • Company Contributions to your 401k - Regardless of your contribution • Employee Perks: Paid Parental Leave, Employee Recognition Program, Leadership Program, Tuition Reimbursement Program, Employee Bank Checking Account, and much more! • Generous Paid Time Off and Paid Holidays - Including Paid Charity Hours to support volunteer opportunities

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