tableau consultant

Python Embedded Engineer

📍 Location: Chennai

💼 Experience: 3+ Years

💰 Budget: ₹1.2 LPM

🔍 Role Overview

We are looking for a skilled Python Embedded Engineer with hands-on experience in embedded systems. The ideal candidate will work closely with cross-functional teams to design, develop, and optimize software solutions that interact with hardware platforms.

We prefer candidates who are reliable, strong communicators, and technically sound.

🛠️ Key Responsibilities

• Design, develop, and maintain robust Python-based applications
• Work on embedded system software development & integration
• Collaborate with hardware, firmware, and system teams
• Optimize software performance for embedded environments
• Debug, troubleshoot, and resolve system-level issues
• Participate in code reviews and follow coding standards
• Support testing, validation, and product release

✅ Required Skills

• 3+ years of experience in Python development
• Strong understanding of software development fundamentals
• Experience or exposure to embedded systems (mandatory)
• Knowledge of hardware-software interaction & communication protocols
• Familiarity with Git/version control systems
• Strong analytical, problem-solving & communication skills

➕ Good to Have

• Experience with C/C++
• Knowledge of RTOS or Linux-based embedded systems
• Experience with microcontrollers, sensors, or device drivers
• Exposure to CI/CD pipelines & automated testing

🎯 Ideal Candidate

• Trustworthy and dependable
• Strong communication skills
• Ability to work in a cross-functional environment

Job description

Location: Mumbai, India

Type: Full-Time | In-office & WFH

Experience: 2-5 years preferred

Salary Range: 30,000 onwards (plus a percentage incentive component) (salary growth dependant on performance track record)

About the Role:

We're seeking a dynamic and driven Business Development Executive to expand Kokos Natural's footprint across B2B, retail, and international markets. This role is perfect for someone with an entrepreneurial mindset, who can identify and execute growth opportunities across multiple channels, both in India and abroad.

Key Responsibilities:

Identify and build B2B partnerships in India and globally: including retailers, distributors, and Horeca (hotels, restaurants, caf s).

Pitch and onboard our products to offline modern trade stores, premium wellness outlets, and gourmet chains.

Explore and manage listing opportunities on quick commerce platforms (Zepto, Blinkit, Instamart, etc.).

Research and develop opportunities for exports and international market expansion, including documentation and lead generation.

Forge collaboration and cross-marketing partnerships with wellness, food, or lifestyle brands.

Track leads, conduct follow-ups, and maintain relationships with key accounts.

Collaborate with the founder and core team on pricing, product positioning, and new market strategies.

Skills & Qualifications:

2-5 years of experience in business development, B2B sales, or FMCG exports

Excellent communication and negotiation skills

Ability to think strategically and execute tactically

Strong knowledge of Indian retail and/or export dynamics

Highly motivated, self-driven, and target-oriented

Experience in food, wellness, or FMCG is a strong plus

Perks & Benefits:

Direct mentorship from the founder and core team

High ownership and freedom to execute your ideas

Access to new markets and international exposure

Clear growth path and performance-based incentives

Flexible structure to propose your own leads/strategy

Employee discounts on all Kokos Natural products.

Job Title: Sales Manager – Styller

Company: Translense Private Limited

Product: Styller

Location: Remote + Local Field Work (Pune, NCR, Varanasi)

Employment Type: Full-Time

About the Company

Translense Private Limited is a growing technology company focused on building practical and powerful digital solutions for the beauty and wellness industry. Our flagship product, Styller, empowers salons and spas to digitize bookings, increase online visibility, and manage operations efficiently.

Role Overview

We are looking for ambitious and persuasive Sales Managers to join our Styller team. You will be responsible for end-to-end sales — from outreach and demos to client onboarding and activation.

Key Responsibilities

• Reach out to warm and cold leads (provided by marketing or self-generated)
• Conduct product demos and explain the benefits of Styller
• Onboard trial and premium clients effectively
• Maintain follow-up communication until conversion
• Keep detailed reports of your sales activities
• Work closely with the operations team for post-sale support

Required Skills

• Strong communication and interpersonal skills
• Persuasive sales approach and confidence in client conversations
• Familiarity with Google Sheets, WhatsApp, CRM tools
• Self-motivated and performance-driven mindset
• Experience in sales, field sales, or telesales (preferred)

Compensation Structure

• Performance-Based Model
• 
  
• ₹500 per successful trial onboarding
• ₹1,000 per successful premium onboarding
• On achieving 5 sales/month: eligible for ₹5,000 base salary
• Total earning potential: up to ₹30,000/month

Perks & Benefits

• Certificate of Experience and Performance Letter
• Monthly recognition for top performers
• Opportunity for full-time permanent roles based on performance
• Work in a fast-growing startup with real impact

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

We are looking for a Laravel Developer to join our team! You will be responsible for building and maintaining web applications using Laravel.

➞ Benefits of working with Ebizz Family:

- 5 working days
- Paid Overtime
- Growth in a short time
- PF ESIC benefits
- Co-operative Teammates
- Friendly Environment

Responsibilities

• Translate designs and wireframes into high-quality code.
• Design, build and maintain high performance, reusable, and reliable Java code.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.

Requirement

• Minimum year of experience as an Android app developer.
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Ability to understand business requirements and translate them into technical requirements

LinkedIn: https://www.linkedin.com/in/ebizzinfotech/" target="_blank">https://www.linkedin.com/in/ebizzinfotech/

Website:  https://www.ebizzinfotech.com/" target="_blank">https://www.ebizzinfotech.com/

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.