SEO Executive

We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.

Analyze and process large datasets using Python and Pandas.

Develop and optimize machine learning models for predictive analytics.

Create data visualizations using Matplotlib and Seaborn to support decision-making.

Perform data cleaning, feature engineering, and statistical analysis.

Work with structured and unstructured data to extract meaningful insights.

Implement and fine-tune NER models for specific use cases (if required).

Collaborate with cross-functional teams to drive data-driven solutions.

Required Skills & Qualifications:

Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).

Experience in data analysis, statistical modeling, and machine learning.

Hands-on expertise in data visualization using Matplotlib and Seaborn.

Understanding of SQL and database querying.

Familiarity with NLP techniques and NER models is a plus.

Strong problem-solving and analytical skills.

We are looking for QA role who has experience into Python ,AWS,and chaos engineering tool(Monkey,Gremlin)

⦁ Strong understanding of distributed systems

• Cloud computing (AWS), and networking principles. 
• Ability to understand complex trading systems and prepare and execute plans to induce failures
• Python. 
• Experience with chaos engineering tooling such as Chaos Monkey, Gremlin, or similar

What You Will Do:

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

· Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.

· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.

· Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.

· Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.

· Work with large datasets and optimize queries and pipelines for performance and scalability.

· Ensure data quality, integrity, and availability throughout the data lifecycle.

· Automate repetitive data tasks, ensuring timely and accurate reporting.

· Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.

· Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.

· Write clear, efficient, and maintainable code for data transformations and automation.

Required Qualifications:

· Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

· 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.

· Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.

· Strong experience in Power BI, including report creation, dashboard development, and data modeling.

· Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).

· Knowledge of cloud platforms, especially Microsoft Azure.

· Familiarity with data warehousing concepts and ETL processes.

· Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).

· Strong programming skills in languages such as Python, SQL, or other relevant languages.

· Ability to troubleshoot and optimize data pipelines for performance and reliability.

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.

Job responsibilities:

. As Area Sales Manager working under the FMCG segment, an ideal candidate must perform the following responsibilities:

. Approaching potential leads and close them within a stipulated time frame.

. Create exclusive distributors and business associates for the company towards business growth.

. Looking after the entire business growth of the exclusive distributor and business associates.

. Keep abreast with stock report, Inventory, Product order, Re-order etc.

. Perform other sales, marketing and promotion related activities as and when instructed by the company .

. Finding and developing new markets and company.

. Training personnel and helping team members in developing their skills.

Requirements:

.Bachelor’s degree in business, marketing or related field.

. 5-7 yrs of experience in sales, marketing or related field.

. Strong communication skills.

.Ability to manage complex projects and multi-tasks.

. Excellent organizational skills.

. Proficient in MS-Office and Outlook.

Selected intern's day-to-day responsibilities include:

1. Working on Photoshop, Illustrator, and Figma

2. Designing infographics, posters, carousels, and journals

3. Create compelling, error-free content aligned with brand guidelines

4. Designing and creating visual assets

5. Assisting in creating graphics, illustrations, and layouts

6. Developing materials for marketing, social media, and websites

7. Staying updated with design trends

8. Researching and referencing before every project

DevOps Architect 

Experience:  10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.

Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired

Technical Skillset: Skills Proficiency level

• Build tools (Ant or Maven) - Expert
• CI/CD tool (Jenkins or Github CI/CD) - Expert
• Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
• Infrastructure As Code (Terraform, Helm charts etc.) - Expert
• Containerization (Docker, Docker Registry) - Expert
• Scripting (linux) - Expert
• Cluster deployment (Kubernetes) & maintenance - Expert
• Programming (Java) - Intermediate
• Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
• Artifactory (JFrog) - Expert
• Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
• Ansible, MySQL, PostgreSQL - Intermediate