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We are looking for an experienced and result-driven Digital Marketing Executive to join our awesome marketing team! As a Digital Marketing Executive at our company, you will be responsible for setting up, implementing, and managing the overall company's digital marketing strategy.

Digital marketing strategies are extremely important for our company's success, so your role will play a crucial role in achieving our business goals and objectives.

We are expecting you to have experience and a big passion for digital technologies and all digital marketing channels.
Digital Marketing Executive duties and responsibilities

• Build, plan and implement the overall digital marketing strategy
• Manage the strategy
• Manage and train the rest of the team
• Stay up to date with the latest technology and best practices
• Manage all digital marketing channels
• Measure ROI and KPIs
• Prepare and manage a digital marketing budget
• Oversee all the company's social media accounts
• Manage and improve online content, considering SEO and Google Analytics
• Build an inbound marketing plan
• Forecast sales performance trends
• Motivate the digital marketing team to achieve goals
• Monitor competition and provide suggestions for improvement

Digital Marketing Executive requirements

• 3-5 years of experience as a Digital Marketing Executive
• 3-5 years of experience in developing and implementing digital marketing strategies
• Good knowledge of all different digital marketing channels
• Good knowledge and experience with online marketing tools and best practices
• 3-5 years of hands-on experience with SEO/SEM, Google Analytics and CRM software
• Familiarity with web design
• Sense of ownership and pride in your performance and its impact on a company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• BSc degree in Marketing, Digital technologies or relevant field

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

this role is for the technical trainer to train the student for the placements

you also act as a trainer cum developer for some projects

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Job description:

We are looking for an experienced professional to lead our lead generation and PPC strategy. The role focuses on driving high-quality leads, managing ad campaigns, and ensuring strong ROI. The ideal candidate will have leadership skills, hands-on PPC expertise, and a proven record of improving lead conversions.

Responsibilities

Create and manage lead generation strategy to meet business targets.

Plan and run PPC campaigns on Google Ads, LinkedIn, Meta, and Display networks.

Optimize ad budgets to lower cost per lead (CPL) and improve ROI.

Guide and mentor a team of lead generation and PPC executives.

Work with sales teams to improve lead-to-customer conversion.

Track and report KPIs like leads, CPL, CTR, CAC, and ROI.

Skills Needed

8–12 years of experience in lead generation and PPC.

Strong knowledge of Google Ads, LinkedIn Ads, Meta Ads, and YouTube.

Experience with CRM and automation tools (HubSpot, Salesforce, Zoho).

Ability to analyze data and make decisions to improve performance.

Team management and leadership skills.

Edtech experience is mandatory.

Job Type: Full-time

Benefits:

Health insurance

Life insurance

Provident Fund

Ability to commute/relocate

Saravanampatti, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred)

Experience:

Working in Edtech: 2 years (Preferred)

Work Location: In person

Role - Relationship & Wealth Manager

About Client:

Our client is leading Indian investment services company having wide array of products and services such as distribution of mutual funds & insurance, equity and derivatives, commodity, PMS and financial planning.

Roles and Responsibilities:

- Acquire new clients, generate revenue, and maintain relationships with High-Net-Worth Individuals (HNI) and Ultra High Net Worth Individuals (UHNI), Corporate Treasuries.

- Enhance and build on Existing Bank tie-ups.

- Offer comprehensive wealth management services.

- Enhance the relationship value of existing customers.

- Ensure increased wallet share to prevent devaluation of securities.

- Analyze client portfolios, assess risk appetite, and provide tailored advice on wealth products.

Location: Mumbai, Pune, Hyderabad, Bangalore, Delhi, Chennai, Coimbatore, Kerala, Kolkata, Nashik.

Qualification:

- MBA Finance, CA, CS or with relevant work experience in managing Investment Products. (2 -15 years of experience)

- Proficiency related to wealth products (e.g., Mutual funds, PMS's, AIF's, Structured Products, Direct Equities, Offshore investments, Risk protection management solutions).

- Build and maintain an extensive external network to stay connected with clients.

- Demonstrate a service-oriented attitude, delivering smooth and superior service.

- Ability to analyse client data, market trends, and stay updated on current market conditions.

- Proven track record in sales, particularly in the private banking or wealth management sector.

- Strong interpersonal and communication skills.

- Relevant financial certifications or qualifications (e.g., CFP, CFA) is a plus.

- Knowledge of regulatory compliance in the financial services industry.

- Excellent organizational and time-management skills

0 - 2  years of experience in business analysis and product development of mobile or web applications 
• Working with the stakeholders to formulate and define the Product Vision and Roadmap
• Developing requirements and use cases for business process flows
• Facilitating the definition of project scope, goals, and deliverables
• Managing the Product Backlog and its refinement
• Converting the requirements to Epics and user stories along with specifying the acceptance criteria
• Managing the prioritization of work in Product Backlog based on Product Roadmap
• Coordinating with cross-functional development team to impart requirement understanding including collaboration with the QA team on test cases
• Engaging with the stakeholders on project progress, required reports and value delivery

• Must have the experience of leading teams and drive customer interactions
• Must have multiple successful deployments user stories
• Extensive hands on experience in Apache Spark along with HiveQL
• Sound knowledge in Amazon Web Services or any other Cloud environment.
• Experienced in data flow orchestration using Apache Airflow
• JSON, XML, CSV, Parquet file formats with snappy compression.
• File movements between HDFS and AWS S3
• Experience in shell scripting and scripting to automate report generation and migration of reports to AWS S3
• Worked in building a data pipeline using Pandas and Flask FrameworkGood Familiarity with Anaconda and Jupyternotebook