Data Engineer

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Job Title: Senior Sales Manager – Hyderabad

Experience: 12 – 15 years

Salary up to: 20 LPA

Position Type: Full-time

Travel Required: Yes

No. of Positions: 1

Qualifications & Skills

• Bachelor’s degree in Engineering (BE) or related field.
• 12–15 years of experience in sales management within Industrial Automation.
• Proven track record in handling B2B and OEM sales.
• Experience in managing high-performing teams and branch-level operations.
• Strong business acumen with P&L accountability.
• Analytical and results-oriented mindset.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to adapt quickly in a fast-paced, evolving business environment.

Technical Lead

The ideal candidate should possess the following qualifications:

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Experience: 9+ years in software development with a proven track record of delivering scalable applications.
• Leadership Skills: 4+ years of experience in a technical leadership role, demonstrating strong mentoring abilities.
• Technical Lead must Lead and mentor a team of software developers and validation engineers.
• Technical Skills: Technical Lead must have Proficiency in programming languages such as C#, React js, SQL, MySQL, Javascript, Web API are required .NET, or Python, along with frameworks and tools used in software development.
• Technical Lead must have General working knowledge of Selenium to support current business automation tools and future automation requirements.
• General working knowledge of PHP desired to support current legacy applications which are on the roadmap for future modernization.
• Technical Lead must have Strong understanding of software development lifecycle (SDLC).
• Experience with agile methodologies (Scrum/Kanban or similar).
• Knowledge of version control systems (Git or similar).
• Development Methodologies: Experience with Agile development methodologies and experience with CI/CD pipelines.
• Problem-Solving Skills: Strong analytical and problem-solving abilities that enable the identification of complex technical issues.
• Collaboration: Excellent communication and collaboration skills, with the ability to work effectively within a team environment.
• Innovation: A passion for technology and innovation, with a keen interest in exploring new technologies to find the best solutions.

Request for Proposal (RFP): AI Receptionist for Helvetica Incoming Broker Calls

Company Overview

Helvetica Group is a direct commercial real estate lender and investment bank, specializing in providing alternative financing solutions for complex real estate transactions. We focus on fast, innovative, and common-sense underwriting to serve brokers, investors, and borrowers nationwide.

Website: helveticagroup.com

Project Overview

We are seeking an experienced AI Engineer to design and implement an AI Receptionist using Retell AI and Make (formerly Integromat). This AI Receptionist will handle incoming broker calls, collect loan request details, integrate with Salesforce, and automate follow-up communications.

Scope of Work

The solution should:

1. Receive Incoming Calls

• Integrate with our phone system and Retell AI to answer broker calls professionally.
• Detect caller intent and initiate a structured loan intake conversation.

1. Prompt Loan Request Details

• Use natural language conversation to gather key loan scenario data:
• Borrower and broker information
• Property type, location, value
• Loan amount requested, purpose, and timeline
• Any special circumstances (e.g., foreclosure bailout, BK buyout, etc.)

1. Data Handling & Automation

• Send collected call details to Salesforce as a new Lead.
• Email a summary of the loan request to our broker group.
• Send an automated confirmation email to the caller.
• Send an SMS confirmation text to the caller with a thank-you and next steps.

1. Integration Requirements

• Use Retell AI for call handling and voice interactions.
• Use Make for workflow automation (Salesforce, email, SMS).
• Ensure all data flows securely and complies with applicable regulations.

Deliverables

• Fully functional AI Receptionist integrated with our systems
• Retell AI call flow design and scripts tailored to Helvetica's lending guidelines
• Make (Integromat) scenarios for:
• Salesforce lead creation
• Email notifications (internal and external)
• SMS confirmation to caller
• Documentation for setup, maintenance, and future scaling
• Optional: Dashboard for call analytics and performance monitoring

Skills Required

• Experience with Retell AI (or similar conversational AI voice platforms)
• Expertise in Make (Integromat) or similar workflow automation tools
• Strong knowledge of Salesforce API integrations
• Experience with Twilio or other SMS/email APIs is a plus
• Understanding of secure data handling and compliance (preferred)

Proposal Requirements

Please include in your proposal:

• Relevant experience with Retell AI, Make, and Salesforce integrations
• Portfolio of similar AI automation projects (voice + CRM)
• Estimated timeline for project completion
• Proposed budget and pricing structure
• Any additional recommendations to enhance this solution

Timeline

• Proposal Submission Deadline: [Insert Date]
• Project Kickoff: [Insert Date]
• Expected Completion: Within 4-6 weeks from kickoff

Budget

We are open to proposals with fixed price or hourly rates. Please provide a clear breakdown of your pricing.

How to Apply

Submit your proposal directly through Upwork, including all requested details.

Would you also like me to include:

• Sample call flow conversation script (to attract engineers who understand the flow)?
• Technical architecture diagram (for clarity on integrations)?
• I can draft both to include in your posting. Shall I proceed?

Job Description

Job Title: Data Engineer

Location: Hyderabad, India

Job Type: Full Time

Experience: 5 – 8 Years

Working Model: On-Site (No remote or work-from-home options available)

Work Schedule: Mountain Time Zone (3:00 PM to 11:00 PM IST)

Role Overview

The Data Engineer will be responsible for designing and implementing scalable backend systems, leveraging Python and PySpark to build high-performance solutions. The role requires a proactive and detail-orientated individual who can solve complex data engineering challenges while collaborating with cross-functional teams to deliver quality results.

Key Responsibilities

• Develop and maintain backend systems using Python and PySpark.
• Optimise and enhance system performance for large-scale data processing.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Debug, troubleshoot, and resolve system issues and bottlenecks.
• Follow coding best practices to ensure code quality and maintainability.
• Utilise tools like Palantir Foundry for data management workflows (good to have).

Qualifications

• Strong proficiency in Python backend development.
• Hands-on experience with PySpark for data engineering.
• Excellent problem-solving skills and attention to detail.
• Good communication skills for effective team collaboration.
• Experience with Palantir Foundry or similar platforms is a plus.

Preferred Skills

• Experience with large-scale data processing and pipeline development.
• Familiarity with agile methodologies and development tools.
• Ability to optimise and streamline backend processes effectively.
• 
  

Responsibilities:

Strategic Talent Planning:

Collaborate with leadership to understand business goals and workforce needs.

Develop and implement a strategic talent acquisition plan aligned with organizational objectives.

Full-Cycle Recruitment:

Manage the end-to-end recruitment process, including job posting, sourcing, screening, interviewing, and selecting candidates.

Conduct thorough candidate assessments to ensure a strong cultural fit and alignment with job requirements.

Team Leadership:

Lead and mentor a team of recruiters, providing guidance and support in achieving recruitment goals.

Conduct regular training sessions to enhance the team's skills and knowledge.

Employer Branding:

Develop and promote the organization's employer brand to attract top talent.

Utilize various channels to showcase the company culture and values.

Sourcing Strategies:

Implement creative sourcing strategies to attract passive and active candidates.

Build and maintain a pipeline of potential candidates for current and future hiring needs.

Collaboration with Hiring Managers:

Partner with hiring managers to understand staffing needs and requirements.

Provide guidance on best practices, market trends, and talent acquisition strategies.

Candidate Experience:

Ensure a positive and seamless candidate experience throughout the recruitment process.

Gather feedback from candidates to continuously improve recruitment processes.

Data Analysis and Reporting:

Utilize recruitment metrics and analytics to track and report on the effectiveness of talent acquisition efforts.

Make data-driven recommendations for process improvements.

Vendor Management:

Manage relationships with external recruitment agencies and other vendors.

• Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
• Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
• Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
• Involving in building and deploying large scale data processing pipelines in a production environment
• Working with data scientists and other engineers to develop data pipelines for model development and productization
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Providing inputs on right tool options and model designs for use cases
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Designing scalable implementations of the models developed by our Data Scientists

Desired Candidate Profile

• 3+ years strong programming experience in PySpark and Python
• Knowledge in Python, SQL, Spark (Pyspark)
• Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
• Analytical and problem-solving skills
• Knowledge in Scrum & code sharing Tech: Git, Jira
• Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
• Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
• Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources    

MyDareBox is India's first Innovative alternate Education Technology Company.

Looking for React Native Developers,

Experience - 1+ years 
Job description

-Hands-on experience of using native platform libraries.

-Hands on experience of building mobile applications from scratch.

-Experience with React Native workflows.

-Strong proficiency in JavaScript and the JavaScript object model.

-Understanding of REST APIs, HTTP Request/Response Model and offline storage.

Job Title:  .Net Developer

Experience- 2-4 years

Qualification- BE/BTech/ME/MTech/MCA or equivalent

Location:  Pune

Job Description

.Net Developer

• Designing Web pages in ASP.NET technology
• Coding in C# (Building the application’s Business Logic and other related software code)
• Hands on experience on SQL Server
• NET, C#, .NET framework 3.5 work experience
• Experience in Framework 4.5 / Bootstrap / HTML 5 / JQuery / LINQ to SQL
• Requirement gathering through client interaction
• Understanding of change request processes and other software development processes and preparing technical documentation
• Problem-solving and thinking laterally as part of a team, or individually, to meet the needs of the project
• Doing Manual unit Testing of the software developed
• Experience in Deployment and Build management
• Consulting clients/colleagues concerning the maintenance and performance of software applications and obtaining information, clarify details and implement information