Information Security & Compliance

What you will do:

• Understand the process of CaaStle business teams, KPIs, and pain points
• Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
• Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
• Leverage advanced analytics to drive key success metrics for business and revenue generation
• Operationalize, implement, and automate changes to drive data-driven decisions
• Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

• Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
• Experience: 2-4 years of professional experience
• Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
• Experience in A/B testing and measure performance of experiments
• Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
• Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
• Excellent communication, social, and presentation skills with meticulous attention to detail
• Programming experience in Python, R, or other languages
• Knowledge of Data mining, statistical modeling approaches, and techniques

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

Hiring: SAP C4C Developer

Location: Pan India

Experience: 7+ Years

Qualifications:

Mandatory: 7+ years of experience as an SAP C4C Developer

Key Responsibilities:

🔹 Strong technical understanding of SAP Cloud for Customer (C4C)

🔹 Formal training or sound knowledge of software development practices (Agile/Scrum preferred)

🔹 Hands-on expertise in:

• ABSL & BODL Scripting
• UI Script & UI Designer
• SAP Cloud Applications Studio (SDK)
• Custom object development
• Adobe Lifecycle Designer (mandatory)
• Configuration using KUT (Key User Tool)

🔹 Experience developing and deploying complex C4C solutions

🔹 Integration experience with non-SAP systems

🔹 Working knowledge of SOAP & OData/RESTful APIs in C4C

🔹 Experience with tracing & debugging in Cloud Studio

🔹 Build data sources & reports for business objects

🔹 Create Key Figures, KPIs & configure dashboard mash-ups

🔹 Development of reuse libraries & process extension scenarios

🔹 Publish new add-ons in scoping

Responsibilities:

● Prospect and identify potential customers through various channels, including cold calling, email campaigns, social media, and online research.

● Qualify leads to determine their potential as prospective customers.

● Conduct outbound calls to educate prospects about our products or services, understand their needs, and set up appointments for the sales team.

● Build and maintain a pipeline of qualified leads, ensuring accurate and up-to-date information

● Collaborate with sales executives to develop effective sales strategies, including lead generation tactics, target market analysis, and competitive research.

● Continuously learn about our products or services, industry trends, and competitors to effectively communicate value propositions to potential customers.

● Meet or exceed monthly and quarterly targets for lead generation, appointment set, and qualified opportunities.

● Provide regular reports and updates on key performance metrics, such as call activity, conversion rates, and revenue generated.

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

Position: Big Data Engineer

What You'll Do

Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. His/her job functions include

• Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
• Collaborate with stakeholders to design scalable solutions.
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
• A technical leader of Punchh’s big data platform that supports AI and BI products.
• Work with infra and operations team to monitor and optimize existing infrastructure 
• Occasional business travels are required.

What You'll Need

• 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
• Advanced degree in computer science, engineering or other related fields.
• Demonstrated strength in data modeling, data warehousing and SQL.
• Extensive knowledge with cloud technologies, e.g. AWS and Azure.
• Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
• Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
• Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
• Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.

Looking for talented and passionate people to be part of the team for an upcoming project at client location.

QUALIFICATION AND EXPERIENCE

• Preferably have a working experience of 4 Years and more , on production PostgreSQL DBs.
• Experience of working in a production support environment
• Engineering or Equivalent degree
• Passion for open-source technologies is desired

ADDITIONAL SKILLS

• Install & Configure PostgreSQL, Enterprise DB
• Technical capabilities PostgreSQL 9.x, 10.x, 11.x
• Server tuning
• Troubleshooting of Database issues
• Linux Shell Scripting
• Install, Configure and maintain Fail Over mechanism
• Backup - Restoration, Point in time database recovery
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.

RESPONSIBILITIES

• Monitoring database performance
• Optimizing Queries and handle escalations
• Analyse and assess the impact and risk of low to medium risk changes on high profile production databases
• Implement security features
• DR implementation and switch over

WHAT IS IN IT FOR YOU?