Business Development Manager

About Us

Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.

Our Values

• Data driven: Data decides, not egos
• Courageous: We take risks and challenge the status quo
• Innovative: We're constantly learning, creating, and adapting
• Lean: We focus on customers, using lean testing to learn how to serve them best
• Humble: Past success is not a guarantee of future success

About the Role

As a Senior Analyst at Pearl, you will be a Subject Matter Expert (SME) in the professional services domain, driving long-term growth and leveraging the latest technologies and methodologies.

In this role, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments.

What You’ll Do

• Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from “deep dives” into specific areas of our business
• Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business
• Package and communicate findings and recommendations to a broad audience (including senior leadership)
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends
• Implement and track business metrics that will help drive the business
• Help determine growth strategy from a marketing and operations perspective
• Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand the customer and guide informed strategic decisions & executions

What We’re Looking For

• 7+ years of experience in e-commerce/customer experience products
• Proficiency in analysis and business modeling using Excel
• Experience with Google Analytics, BigQuery, PowerBI, and Python ./ R would be a plus
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis
• Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Ability to communicate effectively with all levels of management and partners from a variety of business functions
• Advanced English level

Our Commitment to an Inclusive Workplace

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

AI Disclosure & Informed Consent

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for a skilled MongoDB Database Administrator (DBA) to support and maintain client database systems within our services organization. The MongoDB DBA will be responsible for managing day-to-day database operations, ensuring optimal performance, security, and availability of database environments. This role requires working closely with clients, stakeholders, and teams to resolve issues, implement changes, and deliver database solutions that meet business and technical requirements.

Location - Onsite Navi Mumbai

Employment Type: Full-time

Key Responsibilities:

• Install, configure, and manage MongoDB EA on-premise databases for applications, ensuring high availability and optimal performance.
• Implement and maintain MongoDB database clusters, including replica sets and sharded clusters, ensuring data distribution and fault tolerance.
• Perform regular database performance tuning and optimization to maximize query efficiency and reduce response time.
• Implement backup and recovery strategies to ensure data availability and minimize downtime.
• Monitor and troubleshoot MongoDB database issues, including performance bottlenecks, query optimization, and replication problems.
• Execute and support version upgrades and migrations.
• Document database configurations,and troubleshooting steps to maintain a comprehensive knowledge base.
• Provide guidance and troubleshooting support on MongoDB
• Provide regular updates to stakeholders on issue status.

Requirements:

• Proven work experience as a MongoDB Database Administrator, with a focus on setting up and managing MongoDB databases.
• Strong understanding of MongoDB architecture, including replica sets, sharded clusters, and data distribution.
• Proficiency in MongoDB database performance tuning and optimization techniques.
• Experience with MongoDB backup and recovery strategies, including point-in-time recovery and disaster recovery procedures.
• Knowledge of MongoDB security features and best practices for securing MongoDB databases.
• Familiarity with MongoDB monitoring and diagnostic tools, such as MongoDB Cloud Manager, Ops Manager, or third-party solutions.
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve complex database issues.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• MongoDB certifications (e.g., MongoDB Certified DBA) are highly desirable.
• Bachelor’s degree in Computer Science, Business, or related field with 5+ years of relevant experience.

POSITION:

Senior Data Engineer

The Senior Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up.

You will collaborate with our software engineers, database architects, data analysts and data scientists to ensure our data delivery architecture is consistent throughout the platform. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

What You’ll Be Doing:

● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.

● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.

Qualifications:

● Bachelor's degree in Engineering, Computer Science, or relevant

field.

● 10+ years of relevant and recent experience in a Data Engineer role.

● 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.

● Deep understanding of Big Data concepts and distributed systems.

● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.

● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.

● Cloud Experience with DataBricks

● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.

● Comfortable working in a linux shell environment and writing scripts as needed.

● Comfortable working in an Agile environment

● Machine Learning knowledge is a plus.

● Must be capable of working independently and delivering stable,

efficient and reliable software.

● Excellent written and verbal communication skills in English.

● Experience supporting and working with cross-functional teams in a dynamic environment.

REPORTING: This position will report to our CEO or any other Lead as assigned by Management.

EMPLOYMENT TYPE: Full-Time, Permanent LOCATION: Remote (Pan India) SHIFT TIMINGS: 2.00 pm-11:00pm IST

WHO WE ARE:

SalesIntel is the top revenue intelligence platform on the market. Our combination of automation and researchers allows us to reach 95% data accuracy for all our published contact data, while continuing to scale up our number of contacts. We currently have more than 5 million human-verifi ed contacts, another 70 million plus machine processed contacts, and the highest number of direct dial contacts in the industry. We guarantee our accuracy with our well-trained research team that re-verifi es every direct dial number, email, and contact every 90 days. With the most comprehensive contact and company data and our excellent customer service, SalesIntel has the best B2B data available. For more information, please visit – www.salesintel.io

WHAT WE OFFER: SalesIntel’s workplace is all about diversity. Different countries and cultures are represented in our workforce. We are growing at a fast pace and our work environment is constantly evolving with changing times. We motivate our team to better themselves by offering all the good stuff you’d expect like Holidays, Paid Leaves, Bonuses, Incentives, Medical Policy and company paid Training Programs.

SalesIntel is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type and offer equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Sr Salesforce Lightning developer

Requirements:

• 8+ years of professional software development experience in Salesforce
• Minimum 3 years of experience working on Service cloud
• Worked on Service cloud, developing in Salesforce ecosystem consisting of Apex, Visualforce, Custom Objects, Workflows, Triggers, Jobs, etc.
• Hands-on experience on Salesforce lightning framework - Mandatory
• Salesforce certified developer certification is needed for this role
• Minimum 2 years into LWC

Nice to have :

• Understanding of modern UI technologies and frameworks like AngularJS, React, AJAX, Bootstrap

• 12 to 16 years of experience in enterprise level software architecture, design, development (architecture, design patterns, reliability and scaling) of new and current systems
• Experienced in Full Stack product development
• Bachelor’s Degree in computer science or a related field
• Computer Science fundamentals in data structures, algorithm design and problem solving.
• Extensive knowledge and deep understanding of Java and related technologies
• Experience with modern software development methodologies: Agile/Kanban, CI/CD, DevOps, etc.
• Proficiency in Full Stack product development
• Proficiency with Java is essential.
• Proficiency with React, TypeScript, JavaScript, HTML CSS is essential
• Proficient with REST APIs
• Proficient with product development experience on both front end and back end
• Experience with AWS and/or other public cloud technologies.
• Database Experience (query optimization, index generation, caching) or NoSQL DBs a plus

Preferred Qualifications: