Responsibilities and Key Accountabilities:
• Executing tests, collecting and analysing data, identifying trends and insights in order to
achieve maximum ROI in paid search campaigns
• Tracking, reporting and analysing website analytic, pay-per-click (PPC) initiatives and
campaigns
• Managing campaign expenses, staying on budget, estimating monthly costs and reconciling
discrepancies
• Taking the overall ownership of the allocated accounts in term of initial research of
Keywords and Targeting, Account setup, Ad writing, Campaign setup, Campaign
Optimization, Campaign reports and Client and Internal Team Co-ordination
• Punctual and Disciplined towards the Work and Office Etiquette's
Education Required:
• The knowledge, skills and abilities typically acquired through the completion of a
bachelor's degree program or equivalent degree in a field of study related to the job.
• Google AdWords Certified Years of Relevant Work Experience: Minimum 2 years
Knowledge, Skills, Abilities and Competencies:
• Proven experience in managing PPC campaigns across Google, and Social Media Platforms
• Knowledge of performance marketing, conversion, and online customer acquisition
• Up-to-date with the latest trends and best practices in search engine marketing
• Experience with website analytics tools (e.g., Google Analytics)
• Strong analytical skills and experience generating SEM reports
• Familiarity with A/B and multivariate experiments
• Working knowledge of HTML, CSS, and JavaScript development and constraints
• Excellent writing skills

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Job Title: Senior Python Developer – Product Engineering
Location: Pune, India
Experience Required: 3 to 7 Years
Employment Type: Full-time
Employment Agreement: Minimum 3 years (At the completion of 3 years, One Time Commitment Bonus will be applicable based on performance)
🏢 About Our Client
Our client is a leading enterprise cybersecurity company offering an integrated platform for Digital Rights Management (DRM), Enterprise File Sync and Share (EFSS), and Content-Aware Data Protection (CDP). With patented technologies for secure file sharing, endpoint encryption, and real-time policy enforcement, helps organizations maintain control over sensitive data — even after it leaves the enterprise perimeter.
🎯 Role Overview
We are looking for a skilled Python Developer with a strong product mindset and experience building scalable, secure, and performance-critical systems. You will join our core engineering team to enhance backend services powering DRM enforcement, file tracking, audit logging, and file sync engines.
This is a hands-on role for someone who thrives in a product-first, security-driven environment and wants to build technologies that handle terabytes of enterprise data across thousands of endpoints.
🛠️ Key Responsibilities
● Develop and enhance server-side services for DRM policy enforcement, file synchronization, data leak protection, and endpoint telemetry.
● Build Python-based backend APIs and services that interact with file systems, agent software, and enterprise infrastructure.
● Work on delta sync, file versioning, audit trails, and secure content preview/rendering services.
● Implement secure file handling, encryption workflows, and token-based access controls across modules.
● Collaborate with DevOps to optimize scalability, performance, and availability of core services across hybrid deployments (on-prem/cloud).
● Debug and maintain production-level services; drive incident resolution and performance optimization.
● Integrate with 3rd-party platforms such as LDAP, AD, DLP, CASB, and SIEM systems.
● Participate in code reviews, architecture planning, and mentoring junior developers.
📌 Required Skills & Experience
● 3+ years of professional experience with Python 3.x, preferably in enterprise or security domains.
● Strong understanding of multithreading, file I/O, inter-process communication, and low-level system APIs.
● Expertise in building RESTful APIs, schedulers, workers (Celery), and microservices.
● Solid experience with encryption libraries (OpenSSL, cryptography.io) and secure coding practices.
● Hands-on experience with PostgreSQL, Redis, SQLite, or other transactional and cache stores.
● Familiarity with Linux internals, filesystem hooks, journaling/logging systems, and OS-level operations.
● Experience with source control (Git), containerization (Docker/K8s), and CI/CD.
● Proven ability to write clean, modular, testable, and scalable code for production environments.
➕ Preferred/Bonus Skills
● Experience in EFSS, DRM, endpoint DLP, or enterprise content security platforms.
● Knowledge of file diffing algorithms (rsync, delta encoding) or document watermarking.
● Prior experience with agent-based software (Windows/Linux), desktop sync tools, or version control systems.
● Exposure to compliance frameworks (e.g., DPDP Act, GDPR, RBI-CSF) is a plus.
🌟 What We Offer
● Work on a patented and mission-critical enterprise cybersecurity platform
● Join a fast-paced team focused on innovation, security, and customer success
● Hybrid work flexibility with competitive compensation and growth opportunities
● Direct impact on product roadmap, architecture, and IP development
Roles and Responsibilities:
1. Online Catalog Management
Ensure menu and product catalog hygiene across all e-commerce platforms. Update product listings, descriptions, pricing, and availability.
Regularly audit online catalogs to identify and resolve bugs or inconsistencies.
2. E-Commerce Platform Operations
Handle operations on platforms like Amazon, Shopify, Big Basket, Swiggy Instamart, Blinkit, and others.
Liaise with platform points of contact (POCs) to align on promotions, campaigns, and strategies.
Coordinate with platforms to resolve technical or operational issues promptly.
3. Sales and Performance Optimization
Meet and exceed sales targets through data-driven strategies and promotions. Formulate and execute marketing strategies to boost product visibility and increase sales. Research and on board new e-commerce portals to expand the brand’s digital footprint.
Analyse sales trends, identify gaps, and optimize listings for maximum visibility and conversion.
4. Customer Coordination
Address and resolve customer queries and complaints across e-commerce platforms.
Collaborate with customer service teams to enhance the buying experience and build customer loyalty.
Implement strategies for improving customer satisfaction and online reviews.
5. Logistics and Order Fulfilment
Coordinate with production, warehousing, and logistics teams to ensure seamless order fulfilment.
Track and resolve issues related to order delays, returns, and cancellations. Monitor inventory levels to prevent stock outs or overstocking.
6. Online Reputation Management
Monitor and manage the brand’s online reputation across all platforms. Respond to customer feedback and reviews professionally and promptly.
Work with the marketing team to implement strategies for maintaining a positive brand image.
7. Data Analysis and Reporting
Use tools like Excel to analyse sales data, customer trends, and platform performance. Generate and present weekly and monthly performance reports.
Provide actionable insights to optimize campaigns and product placements. 8. Collaboration and Coordination
Work closely with internal teams, including marketing, production, warehousing, and logistics.
Partner with digital media teams to develop promotional campaigns for e-commerce platforms.
Stay updated on the latest trends in the e-commerce landscape and implement best practices.
Desired Candidate Profile:
Experience: Minimum 2 years in e-commerce operations, preferably in FMCG or D2C sectors.
Platforms Expertise: Hands-on experience with Amazon, Shopify, Swiggy Instamart, Flipkart, and similar platforms.
Skills:
Strong proficiency in Microsoft Excel for data analysis and reporting. Excellent organizational and multitasking abilities.
Strong communication skills for internal and external coordination.
Analytical mind-set to identify trends and formulate data-driven strategies. Education: Bachelor’s degree (B.B.A/B.M.S or equivalent preferred).
Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.
Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.
As an Operational Accounting Intern, you will be focusing on supporting day-to-day accounting operations, including processing transactions, reconciling accounts, and assisting with financial reporting. Your role will involve maintaining accurate financial records, preparing documentation for audits, and ensuring compliance with internal controls. Since operational accounting impacts all areas of the organization, you will have the opportunity to collaborate with various teams across Springer Capital, gaining exposure to both finance and cross-department workflows.
Position Summary
We are looking for enthusiastic and self-motivated Sales Executives (female candidates preferred for diversity hiring).This entry-level role is ideal for freshers passionate about sales and customer interaction. You will play a key role in promoting logistics services via outbound calling, generating leads, and building long-term customer relationships.
Note: While this role welcomes female candidates, the hiring process remains inclusive and skill-based.
Key Responsibilities
- Make outbound calls to potential or existing customers to promote logistics services.
- Handle inbound calls, respond to queries, and provide basic service information.
- Generate leads and record relevant customer information for follow-up.
- Assist senior sales executives by qualifying prospects and scheduling callbacks or appointments.
- Maintain customer data and call records accurately in the CRM system.
- Perform regular follow-ups with leads to maintain engagement and interest.
- Share customer feedback or complaints with the relevant team for resolution.
- Learn and stay updated on logistics services, pricing, and processes.
Required Skills and Qualifications
- Education: Minimum 12th pass / HSC or Graduate in any stream
- Experience: Freshers are welcome; prior internship or BPO/call center exposure is a plus
- Languages: Fluent in Hindi and English; Bengali or Marathi (optional based on location)
- Soft Skills:
- Excellent verbal communication
- Positive attitude and eagerness to learn
- Ability to handle rejections gracefully
- Basic understanding of customer service
- Technical Skills:
- Basic computer literacy (MS Excel, Email, Internet)
- Willingness to learn CRM software
Lead Developer Job Summary
We are looking for an experienced Lead Developer to be responsible for managing the development team and overseeing the development of software applications and systems. The Lead Developer will be expected to collaborate with stakeholders to ensure that the development team is meeting deadlines and requirements and will be responsible for designing and implementing new software solutions.
Lead Developer Duties and Responsibilities
- Lead and manage the development team, providing guidance, mentorship, and support
- Design and develop new software solutions and maintain existing software systems
- Identify development opportunities and prioritize projects
- Collaborate with stakeholders to ensure that the team meets deadlines and requirements
- Provide technical oversight and ensure software quality standards are met
- Develop and manage project plans and timelines
- Also perform some hands-on development
- Monitor project progress and provide regular updates
Lead Developer Requirements and Qualifications
- Bachelor’s degree in computer science, Engineering, or related field
- 5+ years of experience in software development and project management
- Experience leading a development team
- Working knowledge of software development processes and methodologies
- Full stack developer with experience working in .NET and Angular

- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Job Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.
3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.
4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.
5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.
6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.
7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.
8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders
We are looking for Management Trainees (girls preferred) to lead and oversee the operations of the company. The candidate will be responsible for ensuring the efficiency of business operations as well as setting strategic goals for the future.
The ideal candidate will be well-versed in all matters of business.
They will be a competent leader able to provide guidance that enhances performance in a manner which incorporates the company's vision and culture.
The goal will be to ensure the profitability of our company's activities to drive sustainable development and long-term success.
JD - not limited to the below points
Qualification:
- Graduate / Post Graduate
- Fresher
Skills Required:
- Fluency in English
- Good communication
- Strategic Thinking capacity
Requirements:
- Develop goals and objectives that tend to growth and prosperity
- Design and implement business plans and strategies to promote the attainment of goals
- Ensure that the company has adequate and suitable resources to complete its activities (e.g. people, materials, equipment etc.)
- Organize and coordinate operations in ways that ensure maximum productivity
- Supervise the work of employees and provide feedback and counsel to improve efficiency and effectiveness
- Maintain relationships with partners/vendors/suppliers
- Gather, analyze and interpret external and internal data and write reports
- Assess overall company performance against objectives
- Represent the company in events, conferences etc.
- Ensure adherence to legal rules and guidelines
There will be training for the initial 6 months until the candidate achieves the skill. During this period, the salary/stipend will be ₹10,000/- to ₹15,000/- per month.
Candidates will be trained under the Co-Founders, who are well-experienced.
The Job profile, in short, will include multiple roles - From B2B Sales, Partner/Vendor/Client Relationship Management, Admin roles, Project Management (at a basic level) etc.
Each candidate will start their training through B2B Sales since that is the best way to learn the services and positioning of our company. Further, they will be put into other roles, based on their Capabilities & Vacancies.
Post 6 months, one role will be made permanent for them, with a 100% or more hike in salary.
We are looking for someone who can be with us for the long term. There will be a one-year bond with Palpx.
- There will be NO allowance for travel and stay
- Food will be provided
- Job type will be work from office (strictly)
- Location: HSR Layout, Bengaluru
- Office hours: 9:30am - 6:30pm
- Working Days: 6 days a week will be working (Monday - Saturday)
We are looking for Oracle Apex developer as per below:
- Minimum of 4 years Working experience in Oracle APEX
- SQL Certification
- Strong analytical and problem solving skills with a solid knowledge on system development life-cycle (SDLC) and Agile implementation approach. Candidate should or at least possess experience on the following:
- Business Requirement Document (BRD) review
- Functional Design Document (FSD) design and development
- System and Data migration and mapping
- Test management
- Change management and training
- Project management (i.e. Status reporting, Change Request Management, Issue and Risk management)









