HR Intern

Job Description:

• 2 – 4 years of hands-on experience as a Developer in financial services
• Experience with C#/.NET
• Experience with JavaScript/TypeScript, ReactJS, and AWS Cloud technologies is a plus
• Experience with databases such as MSSQL and MongoDB is a plus
• Familiarity with concepts such as microservices, API, TDD, unit testing, and SDLC
• Knowledge of Stock Loan, Collateral margining, Swaps would be a great advantage
• Strong analytical and problem-solving skills, with the ability to think critically
• Strong written and verbal communication skills
• Experience in stakeholder management across both IT and business sectors

Responsibilities

• Gather and evaluate user requirements in collaboration with product managers and engineersIllustrate design ideas using storyboards, process flows and sitemapsDesign graphic user interface elements, like menus, tabs and widgetsBuild page navigation buttons and search fieldsDevelop UI mockups and prototypes that clearly illustrate how sites function and look likeCreate original graphic designs (e.g. images, sketches and tables)Prepare and present rough drafts to internal teams and key stakeholdersIdentify and troubleshoot UX problems (e.g. responsiveness)Conduct layout adjustments based on user feedbackAdhere to style standards on fonts, colors and images

Requirements and skills

• Proven work experience as a UI/UX Designer or similar rolePortfolio of design projectsKnowledge of wireframe tools (e.g. Wireframe.cc and InVision)Up-to-date knowledge of design software like Adobe Illustrator and PhotoshopTeam spirit; strong communication skills to collaborate with various stakeholdersGood time-management skillsBSc in Design, Computer Science or relevant field

Job Description:

We are looking for a Big Data Engineer who have worked across the entire ETL stack. Someone who has ingested data in a batch and live stream format, transformed large volumes of daily and built Data-warehouse to store the transformed data and has integrated different visualization dashboards and applications with the data stores.    The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

Responsibilities:

• Develop, test, and implement data solutions based on functional / non-functional business requirements.
• You would be required to code in Scala and PySpark daily on Cloud as well as on-prem infrastructure
• Build Data Models to store the data in a most optimized manner
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implementing the ETL process and optimal data pipeline architecture
• Monitoring performance and advising any necessary infrastructure changes.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Proactively identify potential production issues and recommend and implement solutions
• Must be able to write quality code and build secure, highly available systems.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Review peer-codes and pipelines before deploying to Production for optimization issues and code standards

Skill Sets:

• Good understanding of optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable data size (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Creation of DAGs for data engineering
• Expert at Python /Scala programming, especially for data engineering/ ETL purposes

• Proven software development experience and Android skills development
• Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle

2+ years of experience working with backend development.

1+ year experience in GoLang Backend Development.

Must show your previous work.

Deployed at least 3 complete products which use REST APIs.

Exposure to making Postman docs.

Knowledge/ Experience of modern authorisation mechanisms, such as JSON Web Token and cookies.

Experience in handling  business requirements and translate them into technical requirements.

Experience with version control such as Git and GitHub
Should have a knowledge of

1. GoLang, GoLang Clean Arch, GoRoutines, GORM, Docker, Go Fiber, PostgreSQL

.

• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
• Contribute in all phases of the development lifecycle.
• Write well designed, testable, efficient code.
• Ensure designs are in compliance with specifications.
• Prepare and produce releases of software components.
• Build and deploy on to AWS
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.