Account Executive

About Kanerika:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI.

We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions:

Kanerika has won several awards over the years, including:

1. Best Place to Work 2023 by Great Place to Work®

2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today

3. NASSCOM Emerge 50 Award in 2014

4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture

5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.

Working for us:

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.

Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

Role Responsibilities: 

Following are high level responsibilities that you will play but not limited to: 

• Design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.
• Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.
• Enable business analytics and self-service reporting through Power BI and other visualization tools.
• Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.
• Implement and enforce best practices for data governance, data quality, and security.
• Mentor and guide junior data engineers; establish coding and design standards.
• Evaluate emerging technologies and tools to continuously improve the data ecosystem.

Required Qualifications:

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 5-7 years of experience in data engineering or data platform development, with at least 2–3 years in a lead or architect role.
• Strong hands-on experience in one or more of the following:
• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)
• Databricks (Spark, Delta Lake, PySpark, MLflow)
• Snowflake (Data Warehousing, Snowpipe, Performance Optimization)
• Power BI (Data Modeling, DAX, Report Development)
• Proficiency in SQL and programming languages like Python or Scala.
• Experience with Azure, AWS, or GCP cloud data services.
• Solid understanding of data modeling, data governance, security, and CI/CD practices.

Preferred Qualifications:

• Familiarity with data modeling techniques and practices for Power BI.
• Knowledge of Azure Databricks or other data processing frameworks.
• Knowledge of Microsoft Fabric or other Cloud Platforms.

What we need?

· B. Tech computer science or equivalent.

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

Employee Benefits:

1. Culture:

• Open Door Policy: Encourages open communication and accessibility to management.
• Open Office Floor Plan: Fosters a collaborative and interactive work environment.
• Flexible Working Hours: Allows employees to have flexibility in their work schedules.
• Employee Referral Bonus: Rewards employees for referring qualified candidates.
• Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

• Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
• Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

• GMC and Term Insurance: Offers medical coverage and financial protection.
• Health Insurance: Provides coverage for medical expenses.
• Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

• Company-sponsored family events: Creates opportunities for employees and their families to bond.
• Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
• Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

• Company-sponsored outings: Organizes recreational activities for employees.
• Gratuity: Provides a monetary benefit as a token of appreciation.
• Provident Fund: Helps employees save for retirement.
• Generous PTO: Offers more than the industry standard for paid time off.
• Paid sick days: Allows employees to take paid time off when they are unwell.
• Paid holidays: Gives employees paid time off for designated holidays.
• Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

• L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
• Mentorship Program: Offers guidance and support from experienced professionals.
• Job Training: Provides training to enhance job-related skills.
• Professional Certification Reimbursements: Assists employees in obtaining professional      certifications.
• Promote from Within: Encourages internal growth and advancement opportunities.

• Strong Expertise in CodeIgniter Framework.
• Sound knowledge of database designing and application architecture planning for Core PHP projects.
• Expertise in PHP, MVC Frameworks, and good technology exposure of CodeIgniter Open cart or any CMS added advantage.
• String core PHP Hands-on experience.
• Good Knowledge of PHP5, MySQL, jQuery, JavaScript, HTML5, CSS3, XML
• Assure that all user input is validated before submitting it to the back-end.
• A good understanding of asynchronous request handling, partial page updates, and AJAX will be preferred.
• Prior experience in the payment gateway or education ERP domain is a plus.

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

• 2 - 6 years of software development experience in a professional environment
• 2.5 - 3 years of relevant experience in Node.js
• Experience in Android applications, directives, services etc.,
• Experience with Bootstrap 4.x+ (or internal framework)
• Experience in CSS3, HTML5, JavaScript, Typescript
• Able to integrate and use external (open source) libraries
• Develop high-performance and scalable APIs to serve clients.
• Experience in the creation of scalable RESTful APIs
• Experience in writing reusable, testable and efficient code.
• Collaborate with front-end developers on the integration of well-written APIs.
• Excellent verbal and written communications, ability to learn quickly and a willingness to work and add value to the team
• Experience with backend languages (e.g., Java) and JavaScript frameworks (e.g., Android, Node.js)
• Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g. Apache) and UIUX design
• Experience in the creation of scalable RESTful APIs
• Writing reusable, testable, and efficient code
• Knowledge of containers and Kubernetes
• Good to know cloud technologies like AWS Google Cloud Azure, etc

• Keeping up-to-date with alterations to immigration.
• Meeting with prospective and extant clients to gauge which services they require.
• Providing clients with all pertinent documentation.
• Assisting clients with the completion of paperwork, and ensuring that this is submitted on time.
• Verifying the authenticity of paperwork and supporting documents.
• Preparing and providing invoices for your services.

Our growing company is in need of an experienced and resourceful Business Development Executive to develop and implement growth opportunities in existing and new markets. 

We're searching for professionals that have a solid track record of creating long-term value for organizations. 

- First and foremost, we- re looking for a leader who understands how to leverage real data and capitalize on business trends and opportunities. 

- Candidates should have strong communication and leadership skills, as well as the ability to manage a diverse team in an evolving industry landscape. Successful applicants should also be willing to travel.

- Oversee the sales process to attract new clients.

- Work with senior team members to identify and manage risks.

- Maintain fruitful relationships with clients and address their needs effectively.

- Research and identify new market opportunities.

- Prepare and deliver pitches to potential clients.