MSBI Developer

Job Title : Senior API Developer (Spring Boot Microservices + Apigee/APIM)

Experience : 6+ Years

Employment Type : Contract

Role Level : Senior

Project : Leading South Africa Telecommunications Operator

Department : Application & Experience Engineering

Job Overview :

We are seeking a Senior API Developer with strong expertise in Spring Boot Microservices and API Gateway technologies (Apigee/Azure API Management) to design, develop, and manage secure, scalable APIs for enterprise applications and partner integrations.

The ideal candidate will build high-performance APIs exposing business insights, analytics, and AI/ML services while ensuring security, scalability, and reliability.

Mandatory Skills :

Java, Spring Boot, Microservices, REST APIs, Apigee or Azure API Management (APIM), OAuth2, OpenID Connect (OIDC), JWT, Docker, Kubernetes (AKS), API Security, API Gateway, Microservices Architecture, Kafka (Preferred).

Key Responsibilities :

• Design, develop, and maintain secure RESTful APIs using Spring Boot Microservices.
• Build scalable microservices following best practices for resilience, performance, and maintainability.
• Configure and manage APIs using Apigee or Azure API Management (APIM), including authentication, rate limiting, traffic management, and analytics.
• Implement API security using OAuth2, OpenID Connect (OIDC), API Keys, and Mutual TLS.
• Collaborate with Full Stack, AI/ML, Solution Architecture, and Cybersecurity teams to deliver enterprise-grade integrations.
• Support external partner integrations and internal enterprise systems through well-designed API contracts.
• Optimize API performance, monitor usage, troubleshoot issues, and maintain API lifecycle, versioning, and documentation.

Required Skills :

• 6+ years of experience in Backend/API Development.
• Strong hands-on experience with Java, Spring Boot, and Microservices Architecture.
• Expertise in Apigee or Azure API Management (APIM).
• Strong understanding of REST APIs, API versioning, and API lifecycle management.
• Experience implementing OAuth2, OpenID Connect (OIDC), JWT, API Security, and Authentication.
• Experience with Docker, Kubernetes (AKS), and Cloud-native deployments.
• Familiarity with Kafka or other event-driven messaging platforms is a plus.
• Excellent understanding of enterprise integration patterns and scalable API design.

Good to Have :

• Experience with Azure Cloud.
• Telecom, Banking, FinTech, or other regulated industry experience.
• Certifications in Apigee, Microsoft Azure, or Microservices Architecture.

Job Title: Sales Executive (1 Yrs Exp) – Enterprise AI Software Pre-Sales

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Role Overview:

We are seeking a Sales Executive with 1+ years of experience in B2B IT/Tech/AI/AI Solutions sales and pre-sales activities. This is a remote role with company-provided leads. The candidate will be responsible for driving enterprise AI software sales, conducting solution presentations, and collaborating with technical teams to craft client-focused proposals.

Key Responsibilities:

• Drive B2B enterprise pre sales for AI and solutions, managing the end-to-end sales and pre-sales cycle.

• Engage with potential clients (company-provided leads) to understand business pain points and propose AI-driven software solutions.

• Lead pre-sales activities, including product demonstrations, solution presentations, technical discussions, and proof-of-concept (POC) design.

• Collaborate with the AI and technical teams to design custom solutions and respond to RFPs/RFIs.

• Prepare business and technical proposals, pricing models, and solution roadmaps.

• Build and maintain strong relationships with C-level executives and key decision-makers in enterprise accounts.

• Track, manage, and report pipeline and pre-sales activities using CRM tools.

• Meet or exceed monthly and quarterly B2B sales targets.

Requirements:

• 1+ years of experience in B2B IT/Tech/AI/Solution sales and pre-sales.

• Proven track record in solution selling or enterprise-level software sales.

• Solid understanding of AI, Solution development , or cloud-based solutions and their business applications.

• Exceptional presentation, negotiation, and proposal writing skills.

• Experience with consultative and solution-oriented sales for mid to enterprise clients.

• Familiarity with CRM tools (HubSpot, Salesforce, etc.) and sales automation.

• Bachelor’s degree in IT, Business, Engineering, or a related field.

What We Offer:

• Competitive salary + attractive performance incentives.

• Fully remote, flexible work environment.

• Opportunity to work with cutting-edge AI  products.

• Career growth with a fast-scaling AI consultancy.

• Exposure to global B2B enterprise clients . 

Job Description: Data Engineer (Fintech Firm)

Position: Data Engineer

Experience: 2-4 Years

Location: Mumbai-Andheri

Employment Type: Full-Time

About Us:

We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.

Job Overview:

We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.

Key Responsibilities:

• Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
• Build and maintain efficient data pipelines to support real-time and batch data processing.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize database performance and ensure data integrity and security.
• Troubleshoot and resolve data-related issues and provide support for data operations.
• Implement data quality checks and monitor data pipeline performance.
• Document technical solutions and processes for future reference.

Required Skills and Qualifications:

• Bachelor's degree in  Engineering, or a related field.
• 3-5 years of experience in data engineering or a related role.
• Strong proficiency in ETL tools and techniques.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with big data technologies
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing concepts and tools 
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning and data science principles.
• Experience with real-time data processing and streaming platforms (e.g., Kafka).

What We Offer:

• Competitive compensation package (12-20 LPA) based on experience and qualifications.
• Opportunity to work with a talented and innovative team in the fintech industry..
• Professional development and growth opportunities.

• Experience with Cloud native Data tools/Services such as AWS Athena, AWS Glue, Redshift Spectrum, AWS EMR, AWS Aurora, Big Query, Big Table, S3, etc.

• Strong programming skills in at least one of the following languages: Java, Scala, C++.

• Familiarity with a scripting language like Python as well as Unix/Linux shells.

• Comfortable with multiple AWS components including RDS, AWS Lambda, AWS Glue, AWS Athena, EMR. Equivalent tools in the GCP stack will also suffice.

• Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.

• Experience implementing software around data processing, metadata management, and ETL pipeline tools like Airflow.

Experience with the following software/tools is highly desired:

• Apache Spark, Kafka, Hive, etc.

• SQL and NoSQL databases like MySQL, Postgres, DynamoDB.

• Workflow management tools like Airflow.

• AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR.

• Familiarity with Spark programming paradigms (batch and stream-processing).

• RESTful API services.

Essential Duties and Responsibilities

Include the following, other duties that may be assigned:

Lead the Requirement Discovery Calls.

Defining the Vision

Managing & Scoping the Product Backlog

Providing solutions to solving the Assortment, Availability, Merchandizing, and Supply Chain Problems in Retail Space

Working on various metrics for Retail Industry KPIs and assessing the performance of a retail business

Work with Data Engineers on giving in-depth knowledge of the Business Requirements.

Understanding the business purpose of the story and defining and analyzing possible alternative ways of satisfying the business purpose of the story

Estimation of Level of Efforts(LOE) and Deployment Timelines.

Accountable for ensuring advanced analytics and data science outcomes are continually improved such that product and service offerings stay aligned with changing business needs and strategic objectives

Performing line management of product teams operating within an AGILE methodology

Collaborating closely with Business Owners and users to define product roadmaps, epics, features and user stories

Working with team members to take shared responsibility for the overall efforts that the team has committed to

Taking responsibility for the quality data solutions that developers produce

Interacting with Stake holders (Internal & External) as necessary to clarify requirements and agree on priorities

Review project team solution designs to ensure technical alignment & consistency against predefined target architecture and established standards

Work in partnership with third party suppliers to formulate and execute delivery of customer-focused Product & Services

Assist in developing standards for data ingestion, data access layers, application and integration of selected SaaS platforms and Data Science solutions as key components of the overall solution architecture

First Level of the Analysis of the Data Issues.

Understand End-End Flow of the application technically and functionally to enable oneself to be an eventual Product Owner.

Build and maintain architecture, design, and metadata documentation

Desired Qualifications:

Bachelor’s or Master’s in Data or Computer Science or equivalent technical field

Experience in retail industry is must

Lead the Requirement Discovery Calls.

Defining the Vision

Managing & Scoping the Product Backlog

Experience in solving business problems i.e. Assortment, Availability, Merchandizing, and Supply Chain

Providing solutions to solving the Availability, Merchandizing, and Supply Chain Problems in Retail Space

Working on various metrics for Retail Industry KPI’s and assessing the performance of a retail business

8-10 years of Overall IT Experience.

>5 years of Retail Business experience. Experience in Cloud Technologies is a plus

>2 years’ experience managing stakeholder relationships including influencing & negotiating outcomes

Experience in writing SQL and Complex SQL Queries is a Big Plus

About Us:

Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have off shore development centres: 3 in Hyderabad & 1 in Pune.

For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work For and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019.

We encourage you to visit us on www.prolifics.com or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us.

Should have knowledge of web frameworks, such as Django, HTML and CSS and Python programming language.

Should have relevant work experience in coding and web development.
Good knowledge of Python and Django
Good knowledge of HTML5, CSS3 and Javascript,
Good knowledge of MY SQL database
Knowledge of Django REST framework, API.

Education Qualification- bachelor's degree in computer science, information management systems or a related field.

Work Experience - 1 to 2 years (Required)

Job Type: Full-time

Salary: ₹15,000.00 - ₹25,000.00 per month

What are we looking for:

1. Strong experience in MySQL and writing advanced queries
2. Strong experience in Bash and Python
3. Familiarity with ElasticSearch, Redis, Java, NodeJS, ClickHouse, S3
4. Exposure to cloud services such as AWS, Azure, or GCP
5. 2+ years of experience in the production support
6. Strong experience in log management and performance monitoring like ELK, Prometheus + Grafana, logging services on various cloud platforms
7. Strong understanding of Linux OSes like Ubuntu, CentOS / Redhat Linux
8. Interest in learning new languages / framework as needed
9. Good written and oral communications skills
10. A growth mindset and passionate about building things from the ground up, and most importantly, you should be fun to work with

As a product solutions engineer, you will:

1. Analyze recorded runtime issues, diagnose and do occasional code fixes of low to medium complexity
2. Work with developers to find and correct more complex issues
3. Address urgent issues quickly, work within and measure against customer SLAs
4. Using shell and python scripts, and use scripting to actively automate manual / repetitive activities
5. Build anomaly detectors wherever applicable
6. Pass articulated feedback from customers to the development and product team
7. Maintain ongoing record of the operation of problem analysis and resolution in a on call monitoring system
8. Offer technical support needed in development