Marktine

• 6+ years of experience in software development with strong expertise in Java (8+), JavaScript, HTML, CSS, PL/SQL.
• Hands-on expertise in frameworks and tools: Spring Boot, ReactJS, NodeJS, REST, SOAP.
• Version Control: Proficient in Git.
• Backend & Databases: Experience with Oracle and Postgres DB (Shining Stars).
• CI/CD Tools: Skilled in Jenkins, GitHub, TDD/BDD.
• Testing Tools: Practical experience with ReadyAPI, Postman, Jest, JUnit.
• Cloud Technologies: Exposure to OCI, Azure, AWS.
• AI Tools: Familiar with GitHub Copilot.
• Containerization & Architecture: Proficient in Docker, Kubernetes (K8s), Microservices, Microfrontend.
• Nice to Have: Test automation experience with Selenium, Java Cucumber, and Kafka

Specific Responsibilities

• Minimum of 2 years Experience in Google Big Query and Google Cloud Platform.
• Design and develop the ETL framework using BigQuery
• Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc.
• Working Experience of Clickstream database, Google Analytics/ Adobe Analytics.
• Should be able to automate the data load from Big Query using APIs or scripting language.
• Good experience in Advanced SQL concepts.
• Good experience with Adobe launch Web, Mobile & e-commerce tag implementation.
• Identify complex fuzzy problems, break them down in smaller parts, and implement creative, data-driven solutions
• Responsible for defining, analyzing, and communicating key metrics and business trends to the management teams
• Identify opportunities to improve conversion & user experience through data. Influence product & feature roadmaps.
• Must have a passion for data quality and be constantly looking to improve the system. Drive data-driven decision making through the stakeholders & drive Change Management
• Understand requirements to translate business problems & technical problems into analytics problems.
• Effective storyboarding and presentation of the solution to the client and leadership.
• Client engagement & management
• Ability to interface effectively with multiple levels of management and functional disciplines.
• Assist in developing/coaching individuals technically as well as on soft skills during the project and as part of Client Project’s training program.

• 2 to 3 years of working experience in Google Big Query & Google Cloud Platform
• Relevant experience in Consumer Tech/CPG/Retail industries
• Bachelor’s in engineering, Computer Science, Math, Statistics or related discipline
• Strong problem solving and web analytical skills. Acute attention to detail.
• Experience in analyzing large, complex, multi-dimensional data sets.
• Experience in one or more roles in an online eCommerce or online support environment.

• Expertise in Google Big Query & Google Cloud Platform
• Experience in Advanced SQL, Scripting language (Python/R)
• Hands-on experience in BI tools (Tableau, Power BI)
• Working Experience & understanding of Adobe Analytics or Google Analytics
• Experience in creating and debugging website & app tracking (Omnibus, Dataslayer, GA debugger, etc.)
• Excellent analytical thinking, analysis, and problem-solving skills.
• Knowledge of other GCP services is a plus

- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques

- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions

- Must have hands-on and strong experience in Python

- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning

- Strong analytical & algorithm development skills

- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc

- Ability to collaborate across teams and strong interpersonal skills

Skills

- Sound theoretical knowledge in ML algorithm and their application

- Hands-on experience in statistical modeling tools such as R, Python, and SQL

- Hands-on experience in Machine learning/data science

- Strong knowledge of statistics

- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc

- Experience in Natural Language Processing & Deep Learning techniques 

- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow

Azure – Data Engineer

• At least 2 years hands on experience working with an Agile data engineering team working on big data pipelines using Azure in a commercial environment.
• Dealing with senior stakeholders/leadership
• Understanding of Azure data security and encryption best practices. [ADFS/ACLs]

Data Bricks –experience writing in and using data bricks Using Python to transform, manipulate data.

Data Factory – experience using data factory in an enterprise solution to build data pipelines. Experience calling rest APIs.

Synapse/data warehouse – experience using synapse/data warehouse to present data securely and to build & manage data models.

Microsoft SQL server – We’d expect the candidate to have come from a SQL/Data background and progressed into Azure

PowerBI – Experience with this is preferred

Additionally

• Experience using GIT as a source control system
• Understanding of DevOps concepts and application
• Understanding of Azure Cloud costs/management and running platforms efficiently

Responsibilities:

• Design and develop strong analytics system and predictive models
• Managing a team of data scientists, machine learning engineers, and big data specialists
• Identify valuable data sources and automate data collection processes
• Undertake pre-processing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements:

• Proven experience as a seasoned Data Scientist
• Good Experience in data mining processes
• Understanding of machine learning and Knowledge of operations research is a value addition
• Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
• Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
• Strong math skills (e. g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• Experience in Natural Language Processing (NLP)
• Strong competitive coding skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Must Have Skills:

1.      Experience with the .NET framework and .NET Core technologies: C#

2.      Writing and consuming REST API/Web API in .Net framework, .Net Core

3.      Must have excellent knowledge in Azure hosting services

4.      Good knowledge of Trouble shooting, Azure Hosting, maintaining and performance tuning

5.      Knowledge of Frontend framework (React), If not then Angular, or Vuejs etc

6.      Excellent Aptitude, Attitude and Communication Skills

7.      Strong understanding of OOPS Concepts

8.      Strong knowledge of Unit Testing

9.      Excellent knowledge and working experience in Microservice Architecture

10.  RDBMS Concepts, MS-SQL Server

11.  Writing & Optimizing SQL Queries for best performance

12.  Able to manage release by mean of CI/CD pipeline to deploy applications in Azure

13.  Well versed of code review and code scanning tools

Good to have Skills:

1.      Knowledge of HTML, Bootstrap, CSS, Responsive Design

2.      Entity Framework/LINQ, MVC

3.      Strong understanding of current design patterns & best practices

4.      Knowledge of Agile methodology and JIRA

5.      Knowledge of Electron is a plus

Key Responsibilities:

1.      Work with Scrum Team to prioritize tasks and ensure deadlines are met

2.      Communicate and actively participate in client call and understand requirements

3.      Convert design and architecture to code using best practices

4.      Provide expert level knowledge and guidance on modern software engineering techniques and methodologies for code reviews

5.      Demonstrate expertise in a variety of software concepts (object-oriented design), practices (design patterns), and procedures (troubleshooting defects)

6.   Able to troubleshoot and debug the code, write code with best coding practice and perform unit & Integration testing

7.      Collaborate with the technical team to build and migrate applications in Azure

8.      Test and update application so that it can be used for cross web browsers

9.      Use and set-up CI/CD pipeline