Sr. Data engineer

Position Overview

Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Lendistry’s data team is seeking a Senior Data Engineer to build high-quality, scalable, and resilient solutions that empower the business. Our data warehouse caters to a wide variety of real-time, near real-time, and batch analytical solutions. These solutions are an integral part of business functions like Sales, Operations, Finance, Marketing, and Technology, enabling business drivers to make critical decisions. We utilize modern data stacks born in the Cloud. Designing, developing, and scaling these big data technologies are a core part of our daily job. The ideal candidate for this position, should have a passion for data, be proficient in programming, and should have a passion for building analytics solutions to enable the business to make time-sensitive and critical decisions.

GENERAL RESPONSIBILITIES:

• Design, implement and maintain data pipelines, both batch and real-time that produces reliable data for various data consumption use cases.
• Design implement and maintain data tools to ensure data quality, data governance, and data compliance.
• Help manage the data warehouse and the various sources of data (Salesforce, ERP) that feed the warehouse.
• Build and own the automation and monitoring frameworks that showcase reliable., accurate, easy-to-understand metrics and operational KPIs to stakeholders and data pipeline quality and performance.
• Be the SME for the data, pipeline design, and other related big data and programming technologies.
• Build and maintain data marts for various business needs
• Evaluate various technologies and platforms in open source and proprietary products. Execute proof of concept on new technology and tools to pick the best tools and solutions.
• Understanding data governance practices such as metadata management, data lineage, and data glossaries is a huge plus.
• Foster strong collaboration between globally distributed team members.
• Harness operational excellence and continuous improvement with a can-do attitude.

Requirements

PROFICIENCIES:

• Experience with Cloud-based warehouses is a requirement.
• Solid understanding of RDBMS concepts, data structures, and distributed data processing patterns.
• Expertise in programming pipelines in languages like Python/Scala.
• Advance with Cloud technologies like AWS
• Experience in data integration with AWS Glue
• Experience in data warehousing with Redshift
• Experience in data orchestration and scheduling tools like Airflow
• Experience with version control systems (Github, BitBucket, etc..) and CI/CD tools.
• Proven track record of building products on some production-grade systems.

Education and Experience:

• BS degree in Computer Science or related technical field, or equivalent practical experience
• Experience working in a fintech industry is a definite plus but not required.
• Must have a strong experience with data infrastructure, data architecture, ETL, SQL, Automation, data frameworks, and processes to rapidly integrate disconnected and disparate data sources into automated datasets for analyst's consumption.
• Must have a proven track record working with enterprise metrics, strong operational skills to drive efficiency and speed, expertise in building repeatable data engineering processes, strong project management skills, and a vision of how to deliver data products.

Benefits

Healthcare Benefits

Comprehensive Medical, Dental and Vision Plans

Retirement Benefits

100% Employer Paid Basic Life Insurance, AD&D and Short and Long-Term Disability

Parental Leave

Paid Time Off, Holidays and Parental Leave

Remote Friendly

100% Remote

Professional Development

Encouragement to grow and develop professionally

Volunteer Opportunities

Selection of Voluntary Benefits