Senior Data Engineer

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πŸ”₯ 1 hour ago

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Logo of Capital Bank

Capital Bank

51 - 200 employees

Founded 2008

🏦 Banking

πŸ’Έ Finance

Banking β€’ Finance

Capital Bank is a bank focused on serving Spanish-speaking customers, using the tagline β€œΒ‘La Capital de tus Finanzas! ”. The company is identified on LinkedIn under the Banking industry and its LinkedIn description emphasizes organizational culture β€” highlighting perceptions, values, attitudes and interaction patterns within the organization. No product, size, or distribution details are provided in the available information.

πŸ“‹ Description

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

🎯 Requirements

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

πŸ–οΈ Benefits

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

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