Job description

Who we are: We are reimagining financial products as consumer products, like Spotify or Netflix or Dropbox, making money and tools/services to manage it, available for simple monthly subscription fee so you can stream, share, sync it across accounts, devices, funding instruments, friends or family . Our mission is to help our users demystify their finances, maximize their savings, participate in sustainable debt efforts and spend intelligently.

Who we’re looking for: Exceptional, innovative people! Passionate about delightful user experiences, clear about doing the right thing and hungry to impact millions of lives.

Why you should work with us: We are about doing the right thing always, both for our team and users. We are a positive, transparent and inclusive community celebrating success together, encouraging bias for action and individual brilliance. We are ambitious and want everyone thinking ‘impact and growth’. We are remote first company with focus on employee well being and engaging work culture

With rich experience in the world’s leading tech companies and banks, we deeply and equally understand both the ‘fin’ and ‘tech’ in fintech. Funded by leading global VCs like Massive, SustainVC, TechStars, Cuna Mutual, TASC, Strada and others, we’re in pursuit of a fantastic experience for both our consumers and colleagues. Line is an equal opportunity employer and proud of it.

We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

As Sr. Data Engineer you would have below key Responsibilities And Duties :

• Anticipate, identify and solve issues concerning data management to improve data quality
• Clean, prepare and optimize data at scale for ingestion and consumption
• Support the implementation of new data management projects and re-structure of the current data architecture
• Implement automated workflows and routines using workflow scheduling tools
• Understand and use continuous integration, test-driven development and production deployment frameworks
• Be responsible for the data model for our analytics needs, ensuring that data is standardized and accessible
• Integrate and productize analyst and data science models as needed

Skills and Competencies:

• You have BS/B.tech/M.Tech in Computer Science or equivalent experience with 3+ years professional experience as a Data Engineer or in a similar role
• Good hands on expertise on Python,SQL, Spark, Hive and Unix Scripting
• Excellent understanding of AWS storage, and it's compute services
• Hands-on experience on Data Lake and ETL pipeline development
• Knowledge of both NoSQL Databases like Mongo DB and Cassandra and RDBMS is required
• Deep experience with AWS (Cloud Computing EC2, S3, RDS, VPC, Security Groups, ELB, Elastic Cache, Beanstalk, Redshift, Lambda, Events Bridge, API Gateway, Kafka, SQS, SNS, SES, CloudFormation ...) for API and Microservices based project designs.
• Prior experience with data visualization tools, such as D3.js, GGplot and Metabase
• Experience in wrapping up the Decision science team solution into API and deploy them into production
• Knowledge of GO

We'd Also Love To See Interesting hobby projects, open-source contributions, etc

Sharing of knowledge - via either formal mentoring, reviewing code, reviewing design documents, providing technical talks, teaching classes, or as a consultant on projects

Visit: https://trybeem.com/