Senior Salesforce Developer

Qualifications

• Proven experience in sales, preferably in the fintech or technology industry
• Strong knowledge of financial products, services, and industry trends
• Excellent communication and interpersonal skills
• Ability to build and maintain relationships with clients
• Demonstrated track record of meeting or exceeding sales targets
• Self-motivated and driven to achieve results
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team
• Bachelor's degree in business, finance, or a related field
• Proficiency in using CRM software and sales tools

• 3+ years of Experience in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Micro services etc.
• Working knowledge of JVM internals
• Working knowledge of any database (MySQL or HSQLDB)
• Working knowledge of No-SQL database (Mongo or Dynamo DB)
• Working experience with messaging (JMS/RabbitMQ)
• R & D on new advanced cloud-based technologies in a test-driven agile development.
• Knowledge in designing and architecting systems with high scalability and performance requirements.
• Ability to understand infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
• knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.
• Certification on AWS Fundamendals
• Excellent communication skills
• ability to effectively articulate technical challenges and solutions
• skilled in interfacing with internal and external technical resources
• Good in debugging problems and mentoring teams on technical front

What you need to have:

The VP Presales is a leadership role who ll work closely with the founders & CXOs on various strategic initiatives.

• Setting up the inbound, outbound process globally 
• Setting up smb sales engine for global markets 
• Expert in defining GTM initiatives and rolling this out with proper tracking 
• Liaisoning with marketing, sales and finance team to track ROI and optimise cac 
• Using best of technology and practices to scale the operations  

• Overall experience of 8-10 years out of which atleast experience of 3 to 4 years in setting up the process for a SaaS company in india selling to global markets 
• Working out of bangalore office and mostly in Usa time zone with overlap for india markets 
• Hands on experience to pick initiatives and work himself and then train team on calling pitch, email formats, campaigns creation and handling inbound engine.
• Is deeply analytical, comfortable navigating data and working in ambiguity.
• Exemplary communication and relationship building skills at all levels from senior executives to Individual Contributors. 

You will closely work with the founders. You will provide constant updates to the board and the other Sr management teams. 

Xoxoday is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund, Xoxoday offers a suite of three products - Plum, Empuls, and Compass. Xoxoday works with more than 2500 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Xoxoday is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, Dubai.

We look forward to connecting with you. Once we review your resume, the next step will be a discovery call followed by detailed interviews. There ll be three rounds of interviews. 

• Develop client projects using Asp.net core 3.1 and above, MySQL Database, Azure Functions, CosmosDB, C#.
• Communicate with external clients on a regular basis regarding progress, challenges, timelines and results of client projects
• Gather technical requirements as needed
• Create and update, design and functional documents
• Identify and troubleshoot issues as needed
• Perform a new development as required
• Implement project applications according to specifications
• Research technical issues and provide recommendations to enhance client websites
• Work both independently and as part of a team to create reliable and high-performing Web Applications
• Unit test code to ensure quality

• Develop client projects using Asp.net core 3.1 and above, MySQL Database, Azure Functions, CosmosDB, C#.
• Communicate with external clients on a regular basis regarding progress, challenges, timelines and results of client projects
• Gather technical requirements as needed
• Create and update, design and functional documents
• Identify and troubleshoot issues as needed
• Perform a new development as required
• Implement project applications according to specifications
• Research technical issues and provide recommendations to enhance client websites
• Work both independently and as part of a team to create reliable and high-performing Web Applications
• Unit test code to ensure quality

Desired Candidate Profile

• Graduation is a must
• Relevant work experience of 4-5 years in Business Development is required
• Previous work experience in dealing with pharma companies is a must
• Outstanding communication and professional networking skills
• Excellent presentation, negotiation and interpersonal skills
• High ownership and problem-solving ability is a must

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification