Datawarehouse Developer

• 6+ years of experience in building web applications using ASP.net, web API, SQL Server, and Testable code.
• C# with Strong in OOPS,
• Hands on experience in React JS or Node JS,
•Experience of architecting and designing web applications and services
• Must have at least 1+ year experience using React or Node JS.
• Passion for building and delivering great software with a strong sense of ownership, while working closely with junior team members.
• Conceptual knowledge of middleware architecture.
• Strong experience with Agile processes.
• Exposure to tools to optimize web application performance-MH
• Understanding and experience of working with Product Management, Design and DevOps teams

• Experience in building applications on .NET Core, is a great plus
• Experience working with CRM Products 

• Ruby

• Rails framework

• MySQL

• API development

• Design Patterns

Develop, test, and maintain all APIs

• Manage and maintain SQL and No-SQL tables, data, and stored procedures within all databases

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement

• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive code to enhance the user experience and support analytical products

• Troubleshoot and diagnose production issues

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

• Understanding of SDLC & OOPs concepts.

• Must have experience with ASP.NET with C#

• Good knowledge of SQL server / POSTGreSQL database

• Basic Knowledge of javascript, JQuery, CSS, HTML5, Bootstrap

• Ability to design Web architecture.

• Ability to bug fixing in existing projects.

• Knowledge of functions, procedure, triggers.

• Ability to write optimized sql query.

• Good knowledge of developing Desktop Application

• Knowledge of WCF, Web Services and file management.

• Knowledge of digital signature is preferred.

• Should be able to work in a team environment.

• Strong in Software Development and Problem Solving Skills.

• Design, Develop and Unit Test software independently.

• Also should be able to understand the existing applications and should be in position to reengineer the codes to latest .Net technologies.

• Freshers: Should have B.Tech background and should have strong in problem solving skills.

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.

Responsibilities:

• Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
• Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
• End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
• Build and improve logistics components for this innovative M2C supply-chain model.
• Build and maintain scalable ETL data pipelines.

Requirements:

• Bachelors/Masters/PhD in Computer Science or closely related subject.
• 1-5 years of experience in building software solutions.
• Good at data structures and their practical applications.
• Proficiency in Kotlin, Java, Python.
• Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
• Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
• Experience with messaging middleware such as Kafka is good to have.

Demonstrable experience in Core Java (8 or higher) and Spring framework (Core, AOP, Batch, JMS).

Multithreading, Data structure, Algorithm, Eceptional handling,OOPS Concepts, collections

• Excellent customer facing skills that include conducting compelling technical briefing & demonstrations. The person should have a technical aptitude to implement new technologies and articulate the solutions to the customer.
• Java, Spring with Database & Unix - Preferred with Scala or Spark(Hadoop) background
• Proven knowledge in OOPS & Data Structures
• Strong experience of developing multi-threaded and synchronization application
• Demonstrated delivery experience of Micro services APIs using Springboot, Oracle PL/SQL development and activities like Performance tuning / Optimization.
• Experience of using Git/Bitbucket, Maven/Bamboo, & related tools.
• Good Understanding of Agile Delivery Methodology & experience in working with Scrum teams.

• 2+ years of experience in Java Development with sound knowledge of core Java
• Should have strong hands on experience with developing web applications using Servlets and JSP, Spring, Hibernate, Web Services, HTML, JavaScript
• Should have experience of working on Tomcat/Glassfish
• Experience of Google App Engine or AWS will be added advantage
• Strong knowledge of OOAD
• Comfortable working on Linux/Unix
• Good communication skills and good organization
• Willingness to work in a team environment, as well as
• Willingness to learn new

• Write production quality code in Java, J2EE, and Spring
• Adhere to software development and source control processes, git is added Advantage
• Design, build, configure, test, and document production quality software on an iterative
• Participate in design and implementation of new software.
• Work closely with users, technical leads, project managers, and other cross-functional development
• Execute on the provided design. Active coding in key technologies is required for this development position and includes: Java/J2EE, Tomcat, Web Services, REST, and spring, Hibernate/Ibatis, XML, UNIX and
• As part of the software development process you will need to create, review, and maintain all required technical documentation related to assigned software to ensure supportability and reuse.
• This individual must develop software using disciplined software development processes, adhering to team/company standards and software best practice guidelines, and corporate policies.