Sales & Marketing - TL / RSM / AM Payment Gateway Sales

 Make outbound sales calls to prospective customers from provided leads and databases.  Promote financial products such as personal loans, business loans, insurance and investment solutions.  Explain product details, benefits, interests rates, and eligibility criteria  Identify customer requirements and suggest appropriate financial solutions.  Follow up with the leads and maintain a strong conversion pipeline.  Achieve assigned sales targets and KPI’S on a daily and monthly basis. 

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Operations Executive – Roles and Responsibilities

Objective:

To manage and support the day-to-day operations related to training delivery, ensuring sessions are executed smoothly, stakeholders are aligned, and operational data is accurately maintained.

🔧 Core Responsibilities

1. Training Session Coordination

Responsibilities:

• Coordinate and execute training sessions as per schedules.
• Ensure trainers and learners have all necessary information and access.
• Prepare training kits, tools, and digital resources.

Key Tasks:

• Send session invites and joining links (Zoom/MS Teams).
• Share pre-training materials with participants.
• Monitor live sessions and assist with technical support if needed.

2. Trainer & Client Communication

Responsibilities:

• Act as a liaison between trainers, learners, and internal teams.
• Ensure smooth communication before, during, and after training sessions.
• Address basic queries and escalate issues where needed.

Key Tasks:

• Confirm trainer availability and session readiness.
• Communicate session changes, delays, or cancellations.
• Collect trainer session feedback and pass it to QA or management.

3. Data Entry & Reporting

Responsibilities:

• Maintain accurate records of sessions, trainers, attendance, and client feedback.
• Assist in preparing performance, delivery, and utilization reports.
• Ensure real-time updates to CRM, LMS, and other internal tools.

Key Tasks:

• Update trackers (Google Sheets/Excel) after each session.
• Log trainer invoices, session feedback, and issue tickets.
• Support weekly and monthly reporting tasks.

4. Operational Support Activities

Responsibilities:

• Support the broader operations team with document prep, session audits, and internal coordination.
• Help troubleshoot last-minute issues related to tech, scheduling, or trainer no-shows.
• Coordinate across teams (sales, finance, sourcing) to close operational loops.

Key Tasks:

• Help prepare certificates of completion for learners.
• Follow up on trainer documents for finance team (for payout processing).
• Update session timelines or calendars as per changes.

5. Quality & Compliance Assistance

Responsibilities:

• Ensure sessions meet delivery quality benchmarks.
• Follow checklists and SOPs for session execution.
• Support compliance documentation for certified programs (e.g., PMI, ITIL, Scrum).

Key Tasks:

• Track feedback scores and session satisfaction ratings.
• Help review recordings or reports for quality assurance teams.
• Flag non-compliance issues to senior operations members.

🧠 Required Skills:

• Strong communication & interpersonal skills
• Basic knowledge of CRM/LMS tools and Google Workspace
• Attention to detail and time management
• Team-player with multitasking ability
• Willingness to work flexible hours across global time zones

• Excellent knowledge of Local premium GT and MT
• Have handled 3-4 SO's ,promoters, merchandiser.
• Non- food somewhat related to our product will be an added advantage. 
• Good in communication and reporting. 
• Excellent distributors handling/Negotiation (Age - less than 40)

RESPONSIBILITIES:

- Help your engineers grow their skills and experience

- Conduct code reviews, and make technical contributions to product architecture as well as get involved in solving bugs and delivering small features

- Hold regular 1:1's with all members of the team, give regular and clear feedback around the individual's performance

- Foster technical decision-making on the team, but make final decisions when necessary

- Provide oversight and leadership to a team of developers to ensure timely execution of team and project deliverables

- Maintain up-to-date skills in software development technologies and a broad understanding of the business, business needs, and how applications/assets drive and support the business

REQUIREMENTS:

- 6+ years of experience in software development and 1+ in team management.

- In-depth technical experience in at least one of the core languages, frameworks, or technologies used in backend development.

- Ability to mentor junior software developers, as well as to collaborate with all stakeholders.

- Extensive experience in developing, deploying, and integrating software solutions.

- Proficiency in documenting processes and monitoring performance metrics.

- Knowledge of best practices related to design principles, API development and software architecture.

- Ability to keep up with software industry trends and innovation.

- Exceptional interpersonal and communication skills.

ESSENTIAL EXPERIENCE 

1.   3.5 to 12-14 years of experience as a Software Developer.

2.   Experience in .Net technologies - C#, ASP.net is must.

3.   Experience in developing REST based PAPIs.

4.   Experience in building web user interface.

5.   Good to have experience in developing single page apps using modern JS framework.

6.   Skills in cross browser development.

7.   Understanding of Agile methodology.

8.   Excellent trouble shooting and communication skills.

9.   Knowledge of Azure will be an added advantage. 

JOB DESCRIPTION

1. Developing and implementing web-based applications using .Net technology and MS-SQL.
2. Developing front end with highly responsive user interface concept using React concept.
3. Identifying web-based user interaction.
4. Participate in requirement analysis.
5. Collaborate with internal teams and positive mindset to help and seek help.
6. Documentation of application development changes and updates. 

What you need to have:

Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification

Senior Analytics Consultant- Responsibilities

• Understand business problem and requirements by building domain knowledge and translate to data science problem
• Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
• Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
• Prototype and experiment the solution to successfully demonstrate the value
  Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines
• Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
• Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives

• HTTP APIs 
• SQLite
• Firebase
• Git

• AWS
• MQTT
• IoT
• AWS Cognito 
• Knowledge about Hardware IoT, ESP32, ESP8266, NodeMCU etc.