Business Development Executive

Role Overview

We are looking for a high-performing Key Account Manager (KAM) to manage, hunt, and grow strategic relationships with mid-sized startups and enterprise clients. The ideal candidate should have strong experience in services sales and SaaS sales, along with the ability to open and develop key accounts from scratch (hunting + farming).

Experience or exposure in Web3 and AI domains will be considered a strong advantage.

This role requires strong consultative selling skills, solution understanding, stakeholder management capability, and the ability to drive multi-million-dollar account growth.

Key Responsibilities

Key Account Hunting & Acquisition

1. Identify and acquire new strategic accounts (mid-market and enterprise).
2. Build entry strategies for large logos and high-value startup clients.
3. Drive outbound account penetration along with inbound lead conversion.
4. Own full-cycle sales from prospecting to closure for key accounts.

Account Ownership & Relationship Management

1. Own and manage assigned key accounts post-acquisition.
2. Build relationships with CXOs, founders, and senior technical stakeholders.
3. Act as the primary commercial point of contact.
4. Drive long-term client retention and wallet share expansion.

Revenue Growth & Account Expansion

1. Achieve quarterly and annual revenue targets from assigned accounts.
2. Identify upsell and cross-sell opportunities across services and SaaS offerings.
3. Build multi-year account growth strategies.
4. Maintain strong pipeline coverage and forecasting discipline.

Strategic Solution Selling

1. Sell complex technology solutions across services and SaaS models.
2. Understand client business goals and map solution value accordingly.
3. Drive solution presentations, commercial negotiations, and deal closures.
4. Support enterprise RFP / RFI and multi-stakeholder deal cycles.

Cross-Functional Collaboration

1. Work closely with pre-sales, solutioning, delivery, and product teams.
2. Ensure smooth transition from sales to delivery.

Required Skills & Competencies

Core Sales Skills

1. Enterprise consultative selling
2. Key account hunting + farming capability
3. Strategic account planning
4. Commercial negotiation and deal structuring
5. Pipeline and forecast management

Business & Client Skills

1. Strong executive communication
2. CXO stakeholder management
3. Strong problem-solving and solution orientation

Domain Advantage (Strongly Preferred)

1. Exposure to Web3 / Blockchain solutions
2. Exposure to AI / Data / Automation solutions
3. Experience selling digital transformation or emerging tech solutions

Experience & Qualifications

1. 4–8 years of B2B technology sales / key account management experience
2. Proven track record in acquiring and growing strategic accounts
3. Experience working with startups and enterprise customers
4. Bachelor’s degree required; MBA preferred

About the Role:

We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization.

Key Responsibilities:

• Data Modelling & Visualization
• Build scalable and high-quality data models in Power BI using best practices.
• Define relationships, hierarchies, and measures to support effective storytelling.
• Ensure dashboards meet standards in accuracy, visualization principles, and timelines.
• Data Transformation & ETL
• Perform advanced data transformation using Power Query (M Language) beyond UI-based steps.
• Design and optimize ETL pipelines using SQL, Python, and Big Data tools.
• Manage and process large-scale datasets from various sources and formats.
• Business Problem Translation
• Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions.
• Decompose business questions into testable hypotheses and identify relevant datasets for validation.
• Performance & Troubleshooting
• Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability.
• Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs.
• Analytical Storytelling
• Apply analytical thinking to design insightful dashboards—prioritizing clarity and usability over aesthetics.
• Develop data narratives that drive business impact.
• Solution Design
• Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility.

Required Skills & Experience:

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices.
• Hands-on with Python and SQL for data analysis, automation, and backend data transformation.
• Deep understanding of data storytelling, visual best practices, and dashboard performance tuning.
• Familiarity with DAX Studio and Tabular Editor.
• Experience in handling high-volume data in production environment.
• Exposure to Big Data technologies such as:
• PySpark (must have)
• Hadoop
• Hive / HDFS
• Spark Streaming (optional but preferred)

Why Join Us?

• Work with a team that's passionate about data innovation.
• Exposure to modern data stack and tools.
• Flat structure and collaborative culture.
• Opportunity to influence data strategy and architecture decisions.

We are seeking a disciplined, serious, and highly skilled Lead JavaScript Engineer with hands-on experience in SvelteKit and Generative AI (RAG & MCP).

Key Responsibilities:

• Lead and mentor a small team of 5 Software Developers.
• Architect, develop, and maintain web and native applications.
• Integrate Generative AI solutions (RAG & MCP).
• Manage authentication, security, and DevOps pipelines.
• Enforce disciplined coding practices, processes, and timely delivery.
• Collaborate with product and design teams to implement scalable solutions.
• 
  

Requirements:

• Strong expertise in JavaScript / TypeScript mainly with JS Framework of SvelteKit is must.
• Hands-on experience with Generative AI (RAG & MCP).
• Experience leading small teams.
• Deep understanding of web app architecture, security, and DevOps.
• Knowledge of native app frameworks is a plus.
• Disciplined, self-driven, and result-oriented mindset.
• Local candidates preferred.

Additional Notes:

• Full-time office role, 6 days/week.
• Long-term commitment required;
• Frequent job hoppers need not apply.
• Immediate joining.

Senior ETL developer in SAS

We are seeking a skilled and experienced ETL Developer with strong SAS expertise to join

our growing Data Management team in Kolkata. The ideal candidate will be responsible for

designing, developing, implementing, and maintaining ETL processes to extract, transform,

and load data from various source systems into Banking data warehouse and other data

repositories of BFSI. This role requires a strong understanding of Banking data warehousing

concepts, ETL methodologies, and proficiency in SAS programming for data manipulation

and analysis.

Responsibilities:

• Design, develop, and implement ETL solutions using industry best practices and

tools, with a strong focus on SAS.

• Develop and maintain SAS programs for data extraction, transformation, and loading.

• Work with source system owners and data analysts to understand data requirements

and translate them into ETL specifications.

• Build and maintain data pipelines for Banking database to ensure data quality,

integrity, and consistency.

• Perform data profiling, data cleansing, and data validation to ensure accuracy and

reliability of data.

• Troubleshoot and resolve Bank’s ETL-related issues, including data quality problems

and performance bottlenecks.

• Optimize ETL processes for performance and scalability.

• Document ETL processes, data flows, and technical specifications.

• Collaborate with other team members, including data architects, data analysts, and

business users.

• Stay up-to-date with the latest SAS related ETL technologies and best practices,

particularly within the banking and financial services domain.

• Ensure compliance with data governance policies and security standards.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Proven experience as an ETL Developer, preferably within the banking or financial

services industry.

• Strong proficiency in SAS programming for data manipulation and ETL processes.

• Experience with other ETL tools (e.g., Informatica PowerCenter, DataStage, Talend)

is a plus.

• Solid understanding of data warehousing concepts, including dimensional modeling

(star schema, snowflake schema).

• Experience working with relational databases (e.g., Oracle, SQL Server) and SQL.

• Familiarity with data quality principles and practices.

• Excellent analytical and problem-solving skills.

• Strong communication and interpersonal skills.

• Ability to work independently and as part of a team.

• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Understanding of regulatory requirements in the banking sector (e.g., RBI guidelines)

is an advantage.

Preferred Skills:

• Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure

Synapse, Google BigQuery).

• Knowledge of big data technologies (e.g., Hadoop, Spark).

• Experience with agile development methodologies.

• Relevant certifications (e.g., SAS Certified Professional).

What We Offer:

• Competitive salary and benefits package.

• Opportunity to work with cutting-edge technologies in a dynamic environment.

• Exposure to the banking and financial services domain.

• Professional development and growth opportunities.

• A collaborative and supportive work culture.

Senior Developer should have exposure to building logistics products.

Skilled in RESTful & GraphQL APIs, microservices, and database optimization (MySQL, PostgreSQL, MongoDB).

• Experienced in authentication (OAuth, JWT), caching (Redis, Memcached), and real-time applications (WebSockets).

• Strong knowledge of CI/CD pipelines, Docker, Kubernetes, and cloud deployment (AWS, GCP, Azure).

• Passionate about scalability, performance tuning, security best practices, and clean code architecture.

Job Overview:
We are looking for a Java Developer with experience in building high-performing, scalable,
enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications. Java
developer roles and responsibilities include managing Java/Java EE application development
while providing expertise in the full software development lifecycle, from concept and design to
testing.

Responsibilities and Duties:
• Contribute to all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs should follow compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and
presenting these for architectural review

Qualifications:
• BE/MCA/BCA/MS/BS degree in Computer Science, Engineering, or a related subject
• Minimum 1 to 4 years of experience
• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE
platforms
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2,
Hibernate)
• Experience in the Spring Framework
• Very good English communication skills
• Optional:
o Good to have the knowledge of Angular JS framework.
o Experience to work on the Micro service architecture.
o Experience to work with Git hub & bitbucket.
o Agile methodology.

Job Description:

• Research and write original, well-researched, and informative content for the website and blog.
• Work closely with the marketing team to create content that aligns with the company’s overall marketing strategy.
• Collaborate with the subject matter experts to ensure that all the content is accurate and up-to-date.
• Optimize content for search engines and ensure that it is easily discoverable by users.
• Monitor website analytics to identify areas of improvement and adjust the content strategy accordingly.
• Stay up-to-date with the latest trends and best practices in content creation and SEO.