React Native Developer

Key Responsibilities

• Develop and execute content marketing & SEO strategies.
• Plan and manage the content calendar.
• Create and optimize blogs, landing pages, product pages, case studies, and marketing content.
• Conduct keyword research, content audits, and competitor analysis.
• Improve organic traffic, keyword rankings, and lead generation.
• Collaborate with Product, Design, Development, and Marketing teams.
• Lead, mentor, and review the Content team.
• Track content performance using analytics and optimize campaigns.

Required Skills

• Content Marketing Strategy
• SEO & Keyword Research
• Content Planning & Editorial Management
• Copywriting & Content Editing
• Product & Technical Content Writing
• Brand Storytelling
• Marketing Analytics
• Team Leadership
• Project & Stakeholder Management

Tools

• Google Analytics
• Google Search Console
• Google Tag Manager
• SEMrush
• WordPress / CMS
• AI Writing Tools
• Jira / Trello / Asana / ClickUp
• Microsoft Office / Google Workspace

Perks and Benefits

• Paid Annual Leaves
• PF & Health Insurance
• Team Lunches
• Long New Year Vacation
• Learning & Career Growth

Additional Details:

• Job Title: Content Marketing Lead
• CTC: Up to 7.5 LPA
• Location: JP Nagar, Bengaluru
• Job Type: Full Time (Onsite)
• Working Days: 6 Days
• Experience: 3 - 5 Years
• Notice Period: Immediate to 7 days

Growth Consultant(Inside Sales)

Total Experience- 6 Months- 3 years(Edtech Industry Preffered)

CTC-8 LPA Max

Location- Mumbai-Fort

Notice Period- 15 days Max

What You Will Do

Own the first conversation with inbound leads across HumanEdge, Deorhi, and TaQsha.

What We Are Looking For

Strong interest in at least one of these spaces, with willingness to learn all three:

Comfort with technology. You should be able to use CRM tools, spreadsheets, call systems, WhatsApp workflows, AI assistants,

and process automation to improve performance.

Excellent spoken English. Clear, confident, polished communication is non-negotiable.

Someone who genuinely enjoys speaking on the phone and can build comfort and credibility quickly.

A consultative mindset. You are not pushy. You are persuasive because you understand, simplify, and care.

Ability to explain premium or nuanced offerings in a way that feels intelligent, human, and exciting.

Strong listening skills. You catch what customers say, what they do not say, and why it matters.

A builder mindset. You do not just follow process. You improve it.

High ownership and bias for action. Early-stage teams are messy. You should enjoy that kind of chaos.

What Great Looks Like In This Role

Customers feel understood, not handled.

Conversations feel informed and energising, not salesy.

Lead-to-payment conversion improves because customers trust the journey.

The product team gets sharp feedback from the front lines.

The funnel becomes faster, cleaner, and more scalable over time.

Job Description & Specification: 

Post Title: Data Engineer

Work Mode: Kochi Onsite - UK Time zone

Role Overview: 

We are seeking a talented and experienced Data Engineer to join our team. The ideal candidate will have expertise in technologies such as Metabases, Dbt, Stitch, Snowflake, Avo, and MongoDB. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support our analytics and data-driven decision-making processes.

Responsibilities:

• Designing, developing and implementing scalable data pipelines and ETL processes using tools such as Stitch and Dbt to ingest, transform, and load data from various sources into our data warehouse (Snowflake).
• Implement data modeling best practices and standards using Dbt to create and manage data models for reporting and analytics.
• Collaborating with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Develop and maintain dashboards and visualizations in Metabases to enable self-service analytics and data exploration for internal teams.
• Building and optimizing ETL processes to ensure data quality and integrity.
• Optimizing data processing and storage solutions for performance, scalability and reliability, leveraging cloud-based technologies.
• Implementing monitoring and alerting systems to proactively identify and address data issues.
• Implementing data quality checks and monitoring processes to ensure the accuracy, completeness, and integrity of data.
• Managing and optimizing databases (like MongoDB for performance and scalability).
• Developing and maintaining documentation, best practices, and standards for data engineering processes and workflows.
• Stay up to date with emerging technologies and trends in data engineering, machine learning, and analytics, and evaluate their potential impact on data strategy and architecture.

Requirements:

• Bachelor's or Master's degree in Computer Science.
• Minimum of 4 years of experience working as a data engineer with expertise in Metabases, Dbt, Stitch, Snowflake, Avo, MongoDB.
• Strong programming skills in languages like Python, and experience with SQL and database technologies (e.g., PostgreSQL, MySQL, MongoDB).
• Hands-on experience with data integration tools (e.g., Stitch), data modeling tools (e.g., Dbt), and BI platforms (e.g., Metabases).
• Experience with cloud platforms such as AWS.
• Strong understanding of data modeling concepts, database design, and data warehousing principles
• Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS EMR, Azure Databricks, Google BigQuery).
• Familiarity with data integration tools, ETL processes, and workflow orchestration tools (e.g., Apache Airflow, Apache NiFi).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to work effectively in a global team environment.
• Experience in the education or Edtech industry is a plus.
• Knowledge of Avo for schema management and versioning will be an added advantage.
• Familiarity with machine learning algorithms, data science workflows, and analytics tools (e.g., TensorFlow, PyTorch, scikit-learn, Tableau).
• Knowledge of distributed computing concepts and containerization technologies.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Certifications in cloud computing (e.g., AWS Certified Developer, Google Cloud Professional Data Engineer) or data engineering (e.g., Databricks Certified Associate Developer) are desirable.

Benefits:

• Competitive salary and bonus structure based on performance and achievement of goals.
• Comprehensive benefits package including medical insurance.

Join us in shaping the future of technology by applying your expertise as a Data Engineer. If you are passionate about driving innovation and delivering impactful solutions, we invite you to be part of our dynamic team. Apply now!!

Job description:

• As a Technical project manager to drive the workplace components in a project/program for a new or existing client
• Manage project team and resource allocation
• Ability to lead project teams in a highly matrix environment
• Adapts to changing circumstances, adopting different roles according where appropriate to fit with a new (customer) environment.
• Experiments with new ways of doing things and takes a positive approach to change.
• Strong experience in HTML, JavaScript, CSS, jQuery, WEB API, NET with C#
• Strong experience in angular 2 and above
• Proficient in working with Microsoft SQL Server
• Experience in developing web applications using Angular
• Strong logical, analytical and problem-solving skills
• Strong background in building web applications
• Manage the project from the initial pre-sales handover to early life support.
• Manage all aspects of the project implementations including project rollouts, resource tracking, budget management, schedule development, cost/ budget analysis, cross discipline coordination and communications
• Excellent communication skills

If you are Interested Kindly, share your updated CV with following details. So that we can have a quick Telephonic Conversation and Set up your Technical Screening or Interview ASAP.

Responsibilities

• Design and implement Azure BI infrastructure, ensure overall quality of delivered solution 
• Develop analytical & reporting tools, promote and drive adoption of developed BI solutions 
• Actively participate in BI community 
• Establish and enforce technical standards and documentation 
• Participate in daily scrums  
• Record progress daily in assigned Devops items 

Ideal Candidates should have

• 5 + years of experience in a similar senior business intelligence development position 
• To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions 
• Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps. 
• Experience with development methodologies including Agile, DevOps, and CICD patterns 
• Strong oral and written communication skills in English 
• Ability and willingness to learn quickly and continuously 
• Bachelor's Degree in computer science 

• While working in a team environment, develop PowerApp applications to design document specifications.
• Provide estimates on a required effort to complete design documents.
• Anticipate risks and issues early and coming up with solutions.
• Keeping up to date with the latest trends and certifications while understanding how these relate to the services the company offers.

• Microsoft Dynamics CRM Development experience, with at least 1-year PowerApp development experience
• PowerApps, Power Automate, REST API integration, Azure Functions, Integrations with Dataverse.
• An IT software development background with a minimum of 3 years of Software development experience
• Knowledge of SDLC and Agile methodologies
• Ability to provide technical advice and proven technical expertise in developing and building fit-for-purpose solutions.

• Writing well-designed, stable and efficient code
• Building reusable components and libraries for future
• Troubleshooting and debugging to optimize performance
• Providing code documentation and other inputs to technical documents
• Participating in code reviews
• Troubleshooting and bug fixing
• Identifying bottlenecks and improving software efficiency
• Collaborating with the design team on developing micro-services