Field Sales Executive

Job Title : GoldenSource Technical Consultant

Experience : 7+ Years

Location : Pan India (Hybrid)

Notice Period : Immediate Joiners or Serving max. 10 to 15 Days

Interview Mode : Virtual

Job Description :

We are looking for a skilled GoldenSource Technical Consultant / Developer with extensive experience in implementing and customizing GoldenSource v8.x for financial institutions. The ideal candidate should possess strong technical knowledge of security reference data management and hands-on experience working with market data vendors.

Mandatory Skills :

GoldenSource v8.x, Security Master, Workflow & UI Development, Bloomberg/Reuters Integration, Oracle/PostgreSQL, JBoss/JMS.

Key Responsibilities :

• Lead and implement GoldenSource v8.x in financial services environments.
• Deep understanding of GoldenSource Security Master v8.x, including architecture and data model.
• Design and develop workflows, connectors, and UI components within GoldenSource.
• Manage and handle Security Reference Data effectively.
• Integrate with data vendors like Bloomberg, Reuters, etc.
• Understand and apply knowledge of financial instruments and capital markets.
• Work with RDBMS platforms such as Oracle or PostgreSQL.
• Collaborate using tools such as JIRA, Confluence, and middleware technologies like JBoss and JMS.

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

Job Title: Java Developer (Full-time)

Location: Pune (Onsite)

Experience Required: 3+ Years

Working Days: 5 Days (Mon to Fri)

Key Responsibilities:

• Design, develop, and deploy scalable microservices using Java and Spring Boot.
•  Implement RESTful APIs and integrate with external systems and databases.
• Build and manage services on AWS Cloud using components like ECS, Lambda, S3, RDS,
• and API Gateway.
• Collaborate with DevOps to integrate CI/CD pipelines for automated builds, tests, and
• deployments.
• Ensure application performance, reliability, and security in a cloud-native environment.
• Participate in code reviews, troubleshooting, and performance optimization.
• Work closely with architecture, QA, and product teams to deliver high-quality solutions.

Required Skills & Experience:

• Strong proficiency in Java, Spring Boot, and microservice architecture. 
• Hands-on experience with AWS Cloud services (ECS, EKS, Lambda, RDS, CloudWatch,etc.).
•  Knowledge of Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab, or AWS
• CodePipeline).
• Experience with REST APIs, JSON, and message brokers (Kafka, RabbitMQ, or SNS/SQS).
• Proficiency in SQL and experience with relational databases (Oracle, MySQL, or
• PostgreSQL).
•  Familiarity with security best practices, monitoring, and logging in the cloud.

Responsibilities:

● Curate compelling content and promotional materials to drive course promotion and brand awareness.

● Manage push notifications, email campaigns, and other marketing initiatives to engage and retain customers.

● Develop and implement effective retention strategies to reduce churn and increase customer loyalty.

● Develop out-of-the-box ideas to generate revenue and enhance brand awareness.

● Analyze campaign performance data and make data-driven decisions to optimize marketing efforts.

● Collaborate with designers to create visually appealing creatives for marketing materials.

● Work closely with cross-functional teams, such as product, support, and tech, to optimize the customer experience and increase retention.

● Generate revenue through strategic marketing initiatives and activities.

● Manage affiliate programs to drive sales and revenue.

● Stay informed about industry trends, competitor actions, and market developments

EKO STAY is a leader in professionally managed vacation homes, offering curated homestay experiences across India. Founded in 2018 by experts in hospitality, the company operates over 150 thoughtfully designed villas across 12 cities. Known for its focus on innovation, customer satisfaction, and sustainable growth, EKO STAY sets benchmarks in alternative accommodations. Guests enjoy a blend of comfort, convenience, and unforgettable experiences with every stay.

The ORM (Online Reputation Management) Executive is responsible for optimizing online listings, managing brand identity, and handling client

grievances. This role involves enhancing the company's online presence

through various strategies, ensuring customer satisfaction, and maintaining a

positive brand image.

Key Responsibilities:

- OTA Optimization - Reviews and Ratings:

Monitor and manage reviews and ratings on Online Travel Agencies (OTAs).

Implement strategies to improve overall ratings and manage feedback

effectively.

Engage with customers through reviews to foster positive relationships and

address concerns.

- Website Listing Optimization:

Regularly update and optimize property listings on the company website.

Ensure all listings are accurate, detailed, and attractive to potential clients.

- Image Optimization:

Optimize images on the website for better performance and visual appeal.

Enhance brand identity through consistent and high-quality imagery.

Collaborate with the design team to create compelling visuals that align with

the brand’s image.

- Maintaining Brand Identity Online:

Uphold and promote the company’s brand identity across all online platforms.

Ensure all online content reflects the company’s values, mission, and branding

guidelines.

Monitor online presence to ensure consistency and quality of the brand’s

representation.

- Addressing Client Grievances:

Respond promptly and professionally to client complaints and grievances.

Provide solutions and follow-up to ensure customer satisfaction.

Document and report recurring issues to improve overall service quality.

- Handling Escalations and Damage Control:

Manage and resolve escalated issues effectively to mitigate potential damage to

the brand.

Develop and implement damage control strategies to handle negative

publicity.

Communicate with affected clients to restore confidence and trust in the brand.

- Listing New Properties and Delisting Inactive/Non-performing Listings:

Identify and list new properties on various platforms.

Monitor the performance of listings and delist properties that are inactive or

underperforming.

Ensure all active listings are current and optimized for best performance.

·      Conduct market research to identify potential clients and market trends in cloud computing.

·      Analyze market data to determine client needs and preferences in cloud solutions. 

·      Generate leads through various channels such as cold calling, email campaigns, networking events, and social media platforms.

·       Qualify leads to ensure alignment with our cloud solutions and services.

·      Build and maintain strong relationships with existing and potential clients.

·      Understand client requirements and propose customised cloud solutions to meet their needs.

·      Prepare and present proposals, quotes, and presentations to clients.

·      Collaborate with the technical team to develop comprehensive and competitive cloud solutions.

·      Negotiate contract terms and pricing to ensure mutually beneficial agreements.

Close deals and achieve sales targets within specified timelines.

·      Stay updated on industry trends, emerging technologies, and competitive landscape in cloud computing.

·      Participate in training programs and workshops to enhance knowledge and skills.

• Develop embedded Linux Applications
• Work with a worldwide team to integrate the product to meet the requirement

Required Qualifications:

• Degree in Computer Science from a top-tier institution
• Relevant full-time work experience of 4+years
• Strong foundation in computer science, Object-Oriented software, unit testing & test automation with scripts
• Ability to self-teach.

Mandatory Technical Skills:

• Expert level programming in C/C++
• Linux systems programming, data structures & algorithms
• Networked applications

Desirable Technical Skills:

• Linux Board Bring up, device drivers would be an advantage