Fashion Stylist

Technical Skills Required:

• Frontend: Proficiency in HTML, CSS, JavaScript, and frameworks like React.js or Vue js.
• Backend: Hands-on experience with Node.js, PHP, or along with frameworks like Express.
• Database: Experience with relational databases like MySQL, PostgreSQL,
• Version Control: Familiarity with Git and Git-based workflows.
• Understanding of RESTful APIs and integration with third-party services.
• Basic knowledge of DevOps practices, CI/CD pipelines, and cloud platforms is a plus.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience working on full-stack development projects.
• Strong problem-solving and analytical skills.

Looking to grow your career in inside sales with one of India’s top health tech companies?

🧾 What’s the Role?

You'll be speaking to customers, helping them understand healthcare services, and converting leads into sales over calls. If you’ve worked in a voice process or telesales before, this could be the perfect next step for you!

✅ What We’re Looking For :-

• Graduate (Any stream)—Science graduates preferred
• 1 to 4 years of experience in voice process or inside sales
• Must have good communication skills in English & Hindi
• Please note: Freshers and 10+2 candidates will not be considered

💰 Salary & Incentives :-

• Incentives: ₹5,000 per month based on performance (₹60,000 per year!)
• Final salary will depend on your current package and experience
• 📍 Work Location: Indore (Work from Office)
• 🕘 Work Days: 6 days a week | Rotational week-offs

Description: 

As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights. 

Key Responsibilities: 

1. Team Leadership: 

a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management. 

b. Foster a culture of innovation, collaboration, and continuous learning within the team. 

2. Data Pipeline Development (Google Cloud Focus): 

a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.

b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP. 

3. Data Architecture and Optimization: 

a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently. 

b. Optimize data storage, processing, and retrieval for maximum 

performance and cost-effectiveness on GCP. 

4. Data Governance and Quality: 

a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues. 

5. Cross-functional Collaboration: 

a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights. 

b. Participate in discussions regarding data strategy and provide technical expertise. 

6. Documentation and Best Practices: 

a. Create and maintain documentation for data engineering processes, standards, and best practices. 

b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed. 

Qualifications 

● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 

● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform. 

● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage. 

● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java. 

● Excellent problem-solving and communication skills. 

● Leadership experience and the ability to manage and mentor a team.

Roles and Responsibilities:

1.Must have good analytical and problem solving skills.

2.Works as a Project Manager and reports directly to CTO/ VP

3.Manage daily/weekly scrums.

4.Able to perform and follow coding standards.

5.Perform R&D tasks if assigned and communicate with the Designer and UI team.

6.Taking leadership responsibilities and handling the team well

Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office)

Job Description:

• Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements.
• Create an inventory of the data necessary to build and implement a data architecture.
• Envision data pipelines and how data will flow through the data landscape.
• Evaluate current data management technologies and what additional tools are needed.
• Determine upgrades and improvements to current data architectures.
• Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems.
• Build data models for database structures, analytics, and use cases.
• Develop and enforce database development standards with solid DB/ Query optimizations capabilities.
• Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery.
• Research new opportunities and create methods to acquire data.
• Develop measures that ensure data accuracy, integrity, and accessibility.
• Continually monitor, refine, and report data management system performance.

Required Qualifications and Skillset:

• Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one)
• Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must)
• Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2)
• Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required)
• Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.
• Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.
• Strong grip on programming using Python and PySpark.
• Clear understanding of data best practices prevailing in the industry.
• Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice)
• Strong networking and data security experience.

Awareness of the Following:

• Application development understanding (Full Stack)
• Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.
• Good understanding of Analytics Platform Landscape that includes AI/ML
• Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.

About Us

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.

We Offer You:

• a chance to try new things & take risks.
• meaningful problems you'll be proud to solve.
• people you will be comfortable working with.
• transparent and innovative work environment.

To know more about us visit Gramener Website and Gramener Blog.

If anyone looking for the same, kindly share below mentioned details.

Total Experience:

Relevant Experience:

Notice Period:

CTCT:

ECTC:

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Job Responsibilities:

• Call to arrange meetings with potential customers to generate new business
• Evaluate customers skills, needs and build productive long lasting relationships
• Negotiate the terms of an agreement and close deals
• Challenge any objections with a view to getting the customer to buy Business/Revenue generation
• Meet personal and team sales targets,
• Generate or follow through sales leads

Skills:

• Strong communication, negotiation and interpersonal skills
• Self-motivated and driven

• Design and development of Verification IPs and models for ADAS and AV customers. 
• Understand the Customers’ verification pain points, translate them into technical terms, and propose new features for the product
• Work with the customers on adopting the product, training, helping them address issues

• Deploy verification solution  (composed of a product, language, and methodology) for customers
• Support installation, integrations, and assimilation of new versions, and/or SW packages at the Customers’ sites
• Develop Application Notes, Methodology documents as well as technical presentations