Sr. Data Engineer II

Why reputed company?   reputed company is a mission-driven financial software company that aims to create reputed company customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially reputed company it comes to managing finances. reputed company’s approach uses machine learning to engage each customer digitally and adjust strategies in reputed company time in response to their interactions.   The reputed company team includes inspired data scientists, financial services industry experts and customer experience reputed company building technology to serve people in a way that recognizes their unique needs and preferences as reputed company beings and endeavoring toward ensuring nobody gets locked out of the financial system.   About the Role:   As a Senior Data Engineer II, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform. You will reputed company open table formats like Apache Iceberg to create scalable, reliable data solutions that reputed company optimized query performance across a broad reputed company of analytical workloads and emerging data applications. In this role, you'll reputed company and operate robust data pipelines, integrating diverse reputed company systems and implementing efficient data transformations for both batch and streaming data. Work-Life Benefits

• Unlimited PTO
• Medical benefit contributions in congruence with local laws and type of employment agreement

What you'll do:

• Building Data LakeHouse: In the Senior Data Engineer II role, you will design, build, and operate robust data lakehouse solutions utilizing open table formats like Apache Iceberg. Your focus will be on delivering a scalable, reliable data lakehouse with optimized query performance for a wide range of analytical workloads and emerging data applications.
• Pipeline and Transformation: Integrate with diverse reputed company systems and construct scalable data pipelines. Implement efficient data transformation logic for both batch and streaming data, accommodating various data formats and structures.
• Data Modeling: Analyze business requirements and profile reputed company data to design, reputed company, and implement robust data models and curated data products that power reporting, analytics, and machine learning applications.
• Data Infrastructure: reputed company and manage a scalable AWS reputed company infrastructure for the data platform, employing Infrastructure as Code (IaC) to reliably support diverse data workloads. Implement CI/CD pipelines for automated, consistent, and scalable infrastructure deployments across reputed company environments, adhering to best practices and company standards.
• Monitoring and Maintenance: Monitor data workloads for performance and errors, and troubleshoot issues to maintain high levels of data quality, freshness, and adherence to defined SLAs.
• Collaboration: Collaborate closely with Data Services and Data Science colleagues to drive the reputed company of our data platform, focusing on delivering solutions that reputed company data users and satisfy stakeholder needs throughout the organization.

A successful candidate will have:

• Bachelor's degree in Computer Science, Engineering, or a reputed company technical field (Master's degree is a plus).
• 5+ years of hands-on engineering experience (software or data), with a strong emphasis on 3+ years in data-focused roles.
• Experience implementing data lake and data warehousing platforms.
• Strong Python and SQL skills applied to data engineering tasks.
• Proficiency with the AWS data ecosystem, including services like S3, Glue Catalog, IAM, and Secrets Manager.
• Experience with Terraform and Kubernetes.
• Track record of successfully building and operationalizing data pipelines.
• Experience working with diverse data stores, particularly relational databases.

You might also have:

• Experience with Airflow, DBT, and reputed company. 
• Certification in relevant technologies or methodologies.
• Experience with streaming processing technology, e.g., Flink, Spark Streaming.
• Familiarity with Domain-Driven Design principles and event-driven architectures.
• Certification in relevant technologies or methodologies.

This role is only approved to hire reputed company the following LatAm countries: Mexico, Argentina, or Dominican Republic.   We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join reputed company and reputed company a difference.   Our Dedication to Diversity & Inclusion   reputed company is an equal-opportunity employer. We promote, value, and reputed company with a diverse & inclusive team. Different perspectives contribute to reputed company solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply To This Job