Digital Marketer (Co-Founder)

Role & Responsibilities

About the Role:

We are seeking a highly skilled Senior Data Engineer with 5-7 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in data warehouse architecture, data modeling, ETL processes, and building both batch and streaming pipelines. The candidate should also possess advanced proficiency in Spark, Databricks, Kafka, Python, SQL, and Change Data Capture (CDC) methodologies.

Key responsibilities:

Design, develop, and maintain robust data warehouse solutions to support the organization's analytical and reporting needs.

Implement efficient data modeling techniques to optimize performance and scalability of data systems.

Build and manage data lakehouse infrastructure, ensuring reliability, availability, and security of data assets.

Develop and maintain ETL pipelines to ingest, transform, and load data from various sources into the data warehouse and data lakehouse.

Utilize Spark and Databricks to process large-scale datasets efficiently and in real-time.

Implement Kafka for building real-time streaming pipelines and ensure data consistency and reliability.

Design and develop batch pipelines for scheduled data processing tasks.

Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver effective data solutions.

Perform data analysis and troubleshooting to identify and resolve data quality issues and performance bottlenecks.

Stay updated with the latest technologies and industry trends in data engineering and contribute to continuous improvement initiatives.

Greetings!

We are hiring candidates for the role "Web Application Developer" in one of the top manufacturing MNC's.

Required Skill Set: (Angular, Angular JS) and Dot Net Core.

Designation: Sales Engineer - Woodworking Industry

Role Defination : Sales Engineer is responsible for implementing NITSHAW sales strategies and achieving sales targets assigned to him. He is responsible for creating new opportunities and generating sales from existing as well as new customers.

Roles and Responsibilities 

·         Introductory Sales Meetings

·         Customer requirement analysis

·         Techno-commercial Sales Proposals

·         Technical and commercial meetings

·         Follow ups, Negotiations and Sales Conversion

·         Payment Collection

·         Customer Satisfaction

·         CRM Updates & Reporting

·         Events participation and Coordination

Expected Profile

o Bachelor's or Masters's degree with 2-5 years experience in Sales / Business Development of Capital Equipment or Industrial products

o  Experience in the Woodworking / Furniture manufacturing industry and Machines will be advantageous.

o  Excellent written and spoken and presentation skills.

o  Ready to travel extensively.

o Should have Good Negotiation & Deal Making Skills

Location : Bangalore | Pune | Mumbai

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

Role and Responsibilities:

1. Designing and developing test automation scripts for a web application (Angular) using test automation guidelines.
2. Performance, Security, Penetration, Vulnerability testing.
3. Build tools and frameworks to aid continuous delivery, deployment, and debugging.
4. Supporting the development team and software engineers during the development and testing phase.
5. Prepare defect reports and report test progress.

Qualifications and Requirements:

1. Experience in Automation Testing with Cypress, JavaScript, Typescript, or similar end-to-end testing tools.
2. Experience with Regression, Smoke testing, API, and Backend testing.
3. Experience with non-functional testing, performance, vulnerability testing.
4. Excellent knowledge in testing skills (design test plan and test strategy, writing and executing test cases, opening bugs, verifying bugs, etc).
5. A team player, fast learner with good interpersonal, verbal, and written communication skills.

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.

The Java/Backend Developer is responsible for the development and maintenance of Bytemark’s backend APIs. This person utilizes their knowledge of Java development & web technologies as an integral part of the software development team.

Responsibilities:

• Design, develop, maintain, and deliver highly scalable and reliable APIs
• Collaborate with development team and product owners to analyze, design, and implement user stories using an agile methodology.
• Write high-quality software code that complies with design specifications and meets development and support requirements.
• Develop unit tests and test changes using an agile methodology.
• Use a variety of tools to perform unit testing, automated builds, and source control.
• Participate as a member in Agile teams, and work with other team member to review user stories, estimate effort for user stories, and participate in sprint reviews.
• Maintaining current web and back-end features
• Learning new skills and technologies as company products and industry standards warrant

Required Skills:

• 2-6 years of experience building RESTful APIs
• 2+ year of hands-on Java experience using Play 1.x framework
• Knowledge of Spring or Grails frameworks is a plus
• Ability to write SQL.
• Understanding of OOP
• Experience with Test Driven Development (TDD) using JUnit, Selenium or a similar technology
• Basic knowledge of Unix
• Excellent verbal, written, and interpersonal communication skills
• 3-8 years of software development experience
• Undergraduate degree in the field of computer science or equivalent
• Able to handle multiple tasks in a fast paced environment