
Since 1988 Quicken has been the top personal management software for millions of consumers. We pioneered a radically easier and faster way for people to manage their household finances. Since then we’ve continued to focus on delighting customers and making the Quicken product and experience better than ever.
Job Title: Senior Data Engineer
Location: Bangalore, India
Department: Product Development
Quicken is the #1 personal finance management software with a 30-year heritage of helping millions of individuals and families stay on top of their finances. We are working on a strategy to deliver awesome personal finance experience to our customers across Windows, Mac, iOS, Android, and Web.
The successful candidate will join a fast-paced software development team building the next generation of Quicken Data Platform. The team uses the latest software development technology and tools.
If you are looking to be part of a high-performing team at the heart of a fun, energetic, and innovative company, come join the Quicken Team!
Responsibilities:
This is an opportunity to be a highly visible and key contributor on a small and passionate team delivering innovative data platform solutions across the company. You’ll help shape and deliver on an aggressive and innovative roadmap in areas key to Quicken’s continued success and growth.
- Senior Data Engineer role is a technical hands-on role. The responsibilities range from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
- Implement, or operate comprehensive data platform components to balance optimization of data access with batch loading and resource utilization factors, per customer requirements.
- Develop robust data platform components for sourcing, loading, transformation, and extracting data from various sources.
- Build metadata processes and frameworks.
- Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
- Maintain standards, such as organization, structure, or nomenclature, for data platform elements, such as data architectures, pipelines, frameworks, models, tools, and databases.
- Implement business rules via scripts, middleware, or other technologies.
- Map data between source systems and data lake
- Ability to be independent and product high quality code on components related to the Data Platform. Should also possess Creativity, Responsibility, and Autonomy.
- Participate in the planning, design, and implementation of features, working with small teams that consist of engineers, product managers, and marketing.
- Demonstrate strong technical talent throughout the organization and engineer products that meet future scalability, performance, security, and quality goals while maintaining a cohesive user experience across different components and products.
- Adopt and share best practices of software development methodology and frameworks used in data platform.
- Passion for continuous learning, experimenting and applying cutting edge technology and software paradigms. Also responsible for fostering this culture across the team.
Qualifications:
- 3+ years of hands-on experience with data platform technologies and tools
- Extensive experience in Python
- Should be comfortable with using REST APIs
- Experience in at least 2 of the 3 stages of any big data pipeline - data
ingestion/acquisition, data processing/transformation and data visualization
- Experience in database user interface and query software - Structured query language (SQL)
- Experience in one or more structured DBMS along with data modelling – MySQL
- Nice to have working experience in big data processing frameworks like Spark
- Nice to have working knowledge on visualization tools like Tableau, Kibana, Amazon QuickSight
- Nice to have familiarity in AWS EMR, Kinesis, EC2, S3, AWS Glue
- Experience working with geographically distributed teams across different time zones
- Strong communication skills, both oral and written whether in-person or virtual
- Experience with Agile methodologies
- Bachelor’s degree in computer science or other technical discipline, or equivalent experience
What we offer:
- Competitive salary and performance bonus
- Amazing culture, strong believers in Autonomy/Mastery/Purpose
- Customer-driven, we make money by building the best products for our users. No confusion about how to win – build amazing products!
- Ability to work with and learn from some incredible talent
- Highly recognizable brand

About Quicken Inc
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DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
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