
About us:
At Priori Capital , we are building The financial SaaS for the Businesses operating with digital assets by empowering the teams to operate in an effective, efficient and error-free manner by bringing all things finance on one platform. We aim to solve digital asset management for institutions offering cryptographic security, user management setup and secure access to the blockchain ecosystem.
We’re looking for someone passionate about driving innovation and solving exciting problems.
What are you joining:
We are currently in a fast-paced growth environment where the only constant is evolution!
Our team includes individuals with experience in internationally known blockchain and fintech companies like Polygon (Matic), udaanCapital, Iris, Infosys, Cognizant etc.
We are an early stage start-up with funding from founders of Polygon and a part of the Kira community.
What will you do
- Competitive analysis, extensive user research and process map building to architect the product offering
- Identifying design problems and setting a track of solving them with product development cycles
- Designing UX flows, creating wireframes, polished UIs, and prototypes enabling our teams to swiftly iterate and test ideas
- Align stakeholders on design ideas, concepts and product solutions
- Developing and maintaining documentation regarding user research, customer journeys and touch points, and style guidelines of the product
You should apply if:
- Experience of 3+ years in designing Enterprise solutions or B2B products or complex B2C fintech products or productivity tools
- You have prior experience as a UI/UX designer and a strong portfolio of related projects.
- You are proficient in using Figma or similar tools
- You have experience in building products based on user research
- You have excellent communication skills and can clearly articulate your ideas, designs, and suggestions.
- You are a strong team player who can collaborate effectively with different stakeholders.
Benefits
- Competitive Salary
- Work from anywhere
- Flexible work hours
- Self-managed leave policy
- Focus on Work-life Balance
- Learning Budget to hone a skill or learn new ones
- Be a part of fast growing environment

About Priori Capital
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Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 3+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow

