Data enginner

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: 

• Lead the 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.
• 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.

Senior Data Scientist 

We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. 

If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you’re seeking an environment for continuous learning and improvement, we’d love to hear from you! 

Virtana is a “remote first” work environment so you’ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. 

Work Location- Chennai

Job Type- Hybrid

Role Responsibilities: 

• Research and test machine learning approaches for analyzing large-scale distributed computing applications. 
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness 
• Work closely with other functional teams to integrate implemented systems into the SaaS platform 
• Suggest innovative and creative concepts and ideas that would improve the overall platform  

 Qualifications:    

The ideal candidate must have the following qualifications: 

• 5 + years’ experience in practical implementation and deployment of large customer-facing ML based systems. 
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills 
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms 
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization 
• Experience in working on modeling graph structures related to spatiotemporal systems 
• Programming skills in Python is a must 
• Experience in developing and deploying on cloud (AWS or Google or Azure) 
• Good verbal and written communication skills 
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow 

About Virtana:  

Virtana delivers the industry’s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. 

Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. 

Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. 

Company Profitable Growth and Recognition 

In FY2023 (Fiscal year ending January 2023), Virtana earned: 

—  Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably 

— Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth 

— Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue 

— Positive Cash Flow, 171% YoY cash flow growth 

Delivery Solutions is a Retail eCommerce OXM Platform that provides retailers with out-of-the-box solutions to power Same-Day Delivery, Curbside, In-Store Pickup, Shipping, and Post Purchase experiences. We are trusted with some of the biggest names in multiple verticals of retail like Sephora, AT&T, Footlocker, Michael's, Office Depot, GameStop, Total Wine, Sally Beauty, Abercrombie & Fitch Co. Belk, Loblaw, Vineyard Vines etc.

Our SAAS-based solution is highly flexible and interacts seamlessly with E-commerce properties, OMS, WMS, and POS systems for a highly scalable experience and a delighted customer base.

Delivery Solutions is a wholly-owned subsidiary of UPS | We are a certified Great Places To Work Company

Role: Senior Software Engineer - MEAN Stack

Reports to: Team Lead

Division/Department: Product

Work Location: India - Remote / Pune

We are seeking highly skilled and experienced Senior Software Engineers to join our SaaS company. As a Senior Software Engineer, you will play a pivotal role in the development and enhancement of our cutting-edge software products. You will work closely with cross-functional teams to design, develop, and deploy scalable software solutions using the MEAN stack (MongoDB, Express.js, Angular, Node.js) and related technologies.

Responsibilities:

• Collaborate with product managers, designers, and other stakeholders to define software requirements and translate them into technical specifications.
• Design and develop robust and scalable software solutions using the MEAN stack and other relevant technologies.
• Take ownership of feature development and deliver high-quality code on time.
• Participate in code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug software issues, and identify and implement effective solutions.
• Collaborate with DevOps teams to ensure smooth deployment and operation of software applications.
• Stay up-to-date with the latest industry trends, tools, and technologies and make recommendations for process improvements.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field. (Master's degree preferred)
• 4+ years of hands-on experience in MEAN stack development, including MongoDB, Express.js, Angular (version 2 or higher), and Node.js.
• Proven experience working in a product-based company, delivering software solutions to customers.
• Strong understanding of Agile methodologies and Agile development practices.
• Proficient in front-end technologies such as Angular, HTML, CSS, and responsive design principles.
• Solid understanding of back-end technologies including Node.js, RESTful APIs, and server-side frameworks.
• Experience with cloud platforms, specifically AWS, and familiarity with related services.
• Knowledge of JSON, Kibana, JIRA, and Jenkins is a plus.
• Strong problem-solving skills and the ability to work independently as well as in a team.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

If you are a self-motivated individual with a passion for delivering high-quality software and want to work with a team that values creativity and innovation, then we encourage you to apply for this exciting opportunity. Join our team and be part of a dynamic environment where your expertise will make a significant impact on our software products. 

• Please submit your resume along with any relevant project portfolios or GitHub repositories, for consideration.

• 5+ years of experience building real-time and distributed system architecture, from whiteboard to production
• Strong programming skills in Python, Scala  and SQL.
• Versatility. Experience across the entire spectrum of data engineering, including:
• Data stores (e.g., AWS RDS, AWS Athena, AWS Aurora, AWS Redshift)
• Data pipeline and workflow orchestration tools (e.g., Azkaban, Airflow)
• Data processing technologies (e.g., Spark, Pentaho)
• Deployment and monitoring large database clusters in public cloud platforms (e.g., Docker, Terraform, Datadog)
• Creating ETL or ELT pipelines that transform and process petabytes of structured and unstructured data in real-time
• Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus.

About the Position

We are looking for a passionate and experienced software engineer to join our team at Mumbai. In this role, your primary responsibilities will be to take ownership of developing user facing applications and features in an agile manner. You will design and implement scalable and performant front-end solutions from scratch, while also taking a hard look at the existing ones.

What you will do at QI?

• Design, develop and deliver new user-facing apps and feature and improve existing ones
• Take ownership of product(s), and contribute to dev cycles and sprints planning
• Ensure technical feasibility of UI/UX design, share inputs with other teams including product, design and QA
• Optimize applications for performance, user experience and SEO
• Build reusable code and libraries. Contribute to open source projects.
• Stay up-to-date with new technologies with an eye of constantly adapting and improving our systems and methods.

Basic Job requirements

• 2 years + work experience in a similar role
• Strong experience in HTML5, CSS, DOM and front-end tooling ecosystem (Gulp,Grunt, Webpack)
• Excellent concepts and command over JavaScript
• Strong concepts and commercial experience in Vue.js
• Solid foundation in software development ( algorithm design, data structure, SDLC)
• Good concepts of unit testing and automation testing for UI components
• Good understanding of web app performance including Google Core Web Vitals metrics.

Location - Remote 

Good to have

• Basic knowledge of REST API and relational databases
• Basic understanding of browser internals
• Familiarity with web components and shadow DOM
• Exposure to progressive web app design.

About QuantInsti®

QuantInsti® was started in 2010, by the founders from iRage – a leading quant and algo trading firm in India.  From its early days focused on bridging the industry knowledge gap in the field of high-frequency trading, we have come a long way in the last decade. Today, we have a user base from 180+ countries with a growth rate much over 50% year-on-year.

At QuantInsti®, we swear by our goal of revolutionizing the way people approach the financial markets by empowering individuals and institutions with bleeding edge education and technologies. We offer high quality https://www.quantinsti.com/epat">learning experience and best-in-class https://quantra.quantinsti.com/">courses geared towards a global audience in quantitative trading and investing. Our in-house developed technology aims to bring institutional grade tools and https://quantra-blueshift.quantinsti.com/">platforms to democratize systematic and quantitative trading.

We achieve this by putting technology at the core of our business. We have a complex ecosystem of microservices and applications deployed over a fully cloud-based infrastructure. Our tech stack includes Node.js, Vue.js, Python and Docker. The team is driven by user experience, with strong focus on delivering scalable software solutions to complex and evolving business goals.

Why you should join us?

At QuantInsti, we work at the cutting edge of FinTech and EdTech offerings. We work with the newest technologies with a goal of delivering best experience to our users in a scalable manner, with high-performance and availability. If you love to be challenged intellectually, rest assured we have plenty of them for you. We follow an open and free work culture, where you are encouraged to ask questions, learn and teach. We offer a fast-paced environment where you take ownership of what you design and deliver. If you are looking for a move where you will find a reason to wake up every morning and rush to work, come join us.