11+ Venture capital Jobs in Chennai | Venture capital Job openings in Chennai

Key Responsibilities

Architect and implement enterprise-grade Lakehouse solutions using Databricks

Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

Design large-scale data warehousing solutions with 3NF and dimensional modeling

Establish data governance, security, and data quality frameworks, including Unity Catalog

Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

Provide technical leadership, mentor teams, and ensure successful delivery

Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

10+ years in Data Engineering / Analytics / AI with strong delivery ownership

Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

Strong hands-on experience with: 

Apache Spark (performance tuning & scalability)

Python and SQL

Proven experience in: 

Solution architecture and large-scale data platforms

Data warehousing and advanced data modeling

Batch and real-time processing systems

Experience with: 

Azure Databricks and Azure data services

ML flow and MLOps practices

ServiceNow or enterprise integrations

Exposure to AI technologies (RAG, LLM-based solutions)

Strong stakeholder management and leadership skills

Certifications (Preferred)

Databricks certifications aligned to data engineering and AI tracks, such as: 

Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Job Summary:

We are seeking a highly skilled and certified Workday Functional Consultant with 5–10 years of hands-on experience in Workday implementation, support, and enhancement projects. The ideal candidate will hold certification in one or more of the following modules:

• Core HCM
• Core & Advanced Compensation
• Payroll & Absence
• Security
• Workday Help
• Recruitment

The role involves working closely with business stakeholders, HRIS teams, and technical consultants to deliver scalable and efficient Workday solutions aligned with business needs.

Key Responsibilities:

• Act as a subject matter expert (SME) in one or more certified Workday modules.
• Lead or support Workday implementations, enhancements, or optimization projects.
• Translate business requirements into functional configurations within Workday.
• Participate in or lead design sessions and provide functional recommendations.
• Configure and test Workday modules based on approved requirements.
• Support Workday system upgrades and new feature rollouts.
• Assist in resolving daily operational and production issues.
• Provide end-user training, documentation, and support.
• Work collaboratively with cross-functional teams including HR, Finance, IT, and external vendors.
• Ensure Workday security configuration and access control are aligned with compliance standards.
• Perform data analysis, validation, and reconciliation related to Workday transactions and integrations.

Required Qualifications:

• 5–10 years of hands-on Workday functional experience.
• Certification in at least one of the following Workday modules (must be current or verifiable):
• Core HCM
• Core & Advanced Compensation
• Payroll & Absence
• Security
• Workday Help
• Recruitment
• Experience in full lifecycle Workday implementation(s) or major enhancement projects.
• Strong knowledge of Workday business processes, security, and reporting.
• Excellent problem-solving, communication, and stakeholder management skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Multi-module certification is a strong plus.
• Experience with Workday Studio or Integrations is a plus (even if not core responsibility).
• Familiarity with agile project methodologies.
• Workday reporting (custom reports, dashboards) experience.

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

We are seeking a motivated TERRITORY SALES ASSOCIATE to engage with healthcare professionals, primarily doctors, and schedule software demonstration appointments. The role requires an understanding of us software solutions and the ability to effectively communicate the benefits to healthcare providers.

Key Responsibilities:

·        Conduct field visits to healthcare professionals, clinics, and hospitals to introduce MocDoc's software

·        solutions.

·        Schedule and manage appointments with doctors to set up product demos.

·        Build and maintain strong relationships with potential clients.

·        Work closely with the sales and technical team to ensure successful demos.

·        Identify opportunities to educate healthcare providers on the advantages of our software.

·        Achieve daily, weekly, and monthly targets for appointments and demos.

Requirements:

·        Proven experience in field sales or a similar role (experience in healthcare or software sales is a plus).

·        Strong communication and interpersonal skills.

·        Ability to understand and explain technical features of software applications.

·        Highly motivated, self-driven, and goal oriented.

·        Willingness to travel within the assigned territory.

Benefits:

·        Competitive salary and performance-based appraisal.

·        Opportunity to work with a growing healthcare technology company.

·        Professional development and career growth.

Prerequisites:

• Must own a two-wheeler with a valid driving license
• Must possess a laptop in good working condition
• Proficiency in English and the regional language

Job Title:

Design Engineer

Location:

Hubballi, Dharwad, Chennai, Goa, Belur, Tumkur

Qualification:

B.E / Dip (Mechanical )

Experience (in years):

2+ years

Summary of Skill set 

·      Experience in CAD software Solid Edge

·      Experience in UGNX, Sheet Metal Design and CATIA

·      3D Modeling of part, sub-assemblies & Assembly modeling

·      2D drafting and detailing with GD & T application.

·      Skilled in creating / reading / interpreting engineering drawings.

Personality profile

·      Proficiency in English (Written and Verbal)

·      Effective communication

·      Strong interpersonal skills, proactive approach

·      Self-starter and must be highly resourceful with the ability to be effective independently and with little direction

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.

Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.

Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.

Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers

Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field

● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

Job brief: 

• We are a company in the business of evolving people and have developed Excellence Installation Technology which is a Trillion Dollar Industry and has been validated by Forbes too. 
• We are looking for an enthusiastic person to contribute in converting the enquiries to customers for our company. 
• Candidates will be responsible for closing sales deals over the phone and maintaining good customer relationships. 
• They must be comfortable presenting products or services over the phone as well as dealing with complaints and doubts. 

Responsibilities: 

• Contact potential or existing customers to inform them about our product/service. Answer questions about products or the company. 
• Ask questions to understand customer requirements and close sales. 
• Enter and update customer information in the database.
• Handle grievances to preserve the company’s reputation.
• Go the “extra mile” to meet business requirements and facilitate future sales.