IT Analyst

1. Design, develop, and maintain data pipelines using Azure Data Factory

2. ⁠Create and manage data models in PostgreSQL, ensuring efficient data storage and retrieval.

3. ⁠Optimize query performance and database performance in PostgreSQL, including indexing, query tuning, and performance monitoring.

4. Strong knowledge on data modeling and mapping from various sources to data model.

5. ⁠Develop and maintain logging mechanisms in Azure Data Factory to monitor and troubleshoot data pipelines.

6. Strong knowledge on Key Vault, Azure Data lake, PostgreSQL

7. ⁠Manage file handling within Azure Data Factory, including reading, writing, and transforming data from various file formats.

8. Strong SQL query skills with the ability to handle multiple scenarios and optimize query performance.

9. ⁠Excellent problem-solving skills and ability to handle complex data scenarios.

10. Collaborate with Business stakeholder, data architects and PO's to understand and meet their data requirements.

11. Ensure data quality and integrity through validation and quality checks.

12. Having Power BI knowledge, creating and configuring semantic models & reports would be preferred.

JOB DESCRIPTION:-

• Design, develop, deploy, and support integration solutions using Microsoft BizTalk Server.
• Develop BizTalk artifacts such as schemas, maps, orchestrations, pipelines, and custom components as required.
• Work with business analysts and stakeholders to understand integration requirements and translate them into technical solutions.
• Write and optimize SQL queries, stored procedures, and views for data manipulation, transformation, and retrieval in integration workflows.
• Monitor, troubleshoot, and resolve issues in BizTalk applications and integrations.
• Develop and maintain technical documentation including integration designs, configuration details, and deployment guides.
• Implement best practices for BizTalk development, deployment, and administration.
• Perform unit testing and support system integration testing for BizTalk solutions.
• Collaborate with application and database teams to ensure seamless data integration across systems.
• Participate in upgrades, patching, and migration activities for BizTalk Server environments.
• Provide production support for existing BizTalk integrations, ensuring high availability and performance.

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Skillset

Angular, React/Redux (or Similar Technology)

Node.js

RESTfull API integration

Experience working with Docker and containerized applications

Experience working with Kubernetes or other container orchestration tools

Knowledge and understanding of working in AWS environments

Experience in full-stack development (with a passion)

RDBMS and Document Database

Experience with Agile/Scrum Development Methodology

Exposure to Continues Integration (CI/ CD) Devops, AWS

Version control systems like Git/ TFS

Manual Tester:

Mandatory Skills:

• Around 3-6 years experience in Manual testing complex applications
• Should be able to follow the defined test plan/strategy and perform test execution and report defects/track to closure
• Should be able to grasp the complex business domain fast and be agile in supporting the Product releases
• Experience using at least one defect management tool – JIRA, HP ALM, ADO etc.
• Software lifecycle management skills: understand the application development tasks and plan testing

1. Developing HMI application in Qt or similar UI frameworks
2. Develop C++ or Rust backends for the HMI
3. Understand and optimize potential performance bottlenecks

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

Job Description and skill requirements

Digital Marketing Manager

(This role will come with Sales Targets and commensurate rewards)

Role

• Plan and execute digital marketing campaigns across different digital marketing platforms
• Understanding of SEO/SEM, Marketing database, email and display campaigns
• Design, build and maintain Social Media presence
• Thorough monitoring of all social media ,digital spends and optimizing the budgets
• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
• Brainstorm new and creative growth strategies
• Collaborate with internal teams to create landing pages and optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Experience in setting up and optimizing Google AdWords campaigns

Skill Requirements:

• Self-Starter and a go getter!
• Proven experience in the Ecommerce space – Minimum of 2 years of experience in a similar role
• Understanding of digital marketing landscape, concepts and best practices.
• Knowledge of one of the web analytics tools (e.g. Google Analytics, Net Insight or Web Trends etc.)
• Analytical mindset and critical thinking.
• Excellent communication and interpersonal skills.