11+ Demand management Jobs in Bangalore (Bengaluru) | Demand management Job openings in Bangalore (Bengaluru)

Job Title : Senior Software Engineer – Frontend

Work Location : Bangalore (Hybrid – 3 days WFO)

Work Timings : 11 AM to 8 PM IST

Interview Process :

Round 1 : Geektrust Online Technical Interview (1 hour)

Round 2 : Online Interview with Toorak Capital Indian Team (1 hour)

Round 3 : Online Interview with Toorak Capital U.S. Team (30 minutes)

Round 4 : Face-to-Face Interview with the Toorak Team in Bangalore (Mandatory)

Core Requirements :

• 6 to 10 Years of experience as a Web Developer or similar role.

Proficiency in :

• React.js, HTML & CSS, JavaScript / TypeScript, Webpack, Micro-frontend architecture, Backend for Frontend (BFF) architectural pattern.
• Familiarity with version control systems like Git.
• Excellent debugging, problem-solving skills, and attention to detail.
• Strong communication skills and ability to work in a team.
• Bachelor's or Master’s degree in Computer Science, Computer Engineering, or an equivalent field.

Preferred Skills :

• Experience with Node.js.
• Experience with Content Delivery Networks (CDNs) and deploying applications.
• Experience with GCP services and Jenkins for build processes.
• Knowledge of JavaScript frameworks and libraries for web analytics.

Responsibilities :

• Develop cloud-based web applications using React.js, HTML, and CSS.
• Collaborate with UX designers to create and refine prototypes, ensuring an excellent user experience.
• Work closely with backend engineers to ensure seamless integration.
• Implement and optimize micro-frontend architecture.
• Write clean, efficient, and well-documented code.
• Stay up to date with industry trends and best practices.
• Work closely with cross-functional teams to deliver high-quality products on time.
• Implement build processes using Jenkins and deploy applications to CDNs.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Responsibilities

• Lead and manage a talented Engineering Team of 8+ members.
• Provide technical guidance and mentorship to team members and assist them in their career progression. Set OKRs, progress checks and do performance evaluations.
• Manage the development pipeline to deliver features on schedule while maintaining high bar for quality.
• Closely Interact with other functions such as PM, Design, UI/UX, Art, QA, and deliver planned features.
• Perform Design reviews, Code reviews
• Create a solid Tech backlog that involves modernizing tech stack, set goals for performance improvements.

Requirements

• Masters or Bachelor's Degree in Computer Science, Engineering or equivalent.
• Should have 8+ years of professional experience in mobile, development using C++, C#, PYTHON, GO Lang, Javascript.
• Should have 2+ years of experience in managing teams, including hiring, mentoring and building strong teams.
• Shown ability to motivate teams and operate effectively in a fast-paced, high-energy environment.

Desired Skills and Experience NET, C++, Golang, Java, JavaScript, Python, Quality Assurance, C#

Only Local Candidates

Candidates should be from Edutech Companies/ Fintech Company/ Real Estate

• 
  
• To understand comprehensive knowledge of products and services offered by the company.
• Setting a sales target and developing a marketing strategy for the same.
• Calling existing and potential customers to update them about the recent launches.
• Updating the database with all the customer’s information.
• Ensuring that customers are satisfied by the services offered to them.
• Using a sales script to handle the customers efficiently.
• Building strong relationships with old, existing and potential customers.
• Taking and processing customers’ orders in a professional manner.
• Creating monthly sales reports and presenting them to the Business development Executive
• Adhering to all the company’s rules and regulations.

Must have skills

3 to 6 years

Data Science

SQL, Excel, Big Query - mandate 3+ years

Python/ML, Hadoop, Spark - 2+ years

Requirements

• 3+ years prior experience as a data analyst

• Detail oriented, structural thinking and analytical mindset.

• Proven analytic skills, including data analysis and data validation.

• Technical writing experience in relevant areas, including queries, reports, and presentations.

• Strong SQL and Excel skills with the ability to learn other analytic tools

• Good communication skills (being precise and clear)

• Good to have prior knowledge of python and ML algorithms

We are looking for a senior software engineer (Senior PHP Developer) to join our team. We are based on Bangalore in HSR Layout. 

Primary Skills : PHP, SQL. Having a strong grasp of Object-Oriented Programming (OOP)

Experience : Mid to Senior level (5 to 10 years)

Location : Bangalore, India

It also helps if you have one or more of the skills below :

• JavaScript
• Vue.js (or other modern front-end framework)
• Headless CMS
• Rest APIs
• Docker
• Linux
• experience with web services
• experience with CMS development

>>We develop headress CMS kuroco (product) and RCMS (product) with our Japanese partner, Diverta (https://www.diverta.asia/">https://www.diverta.asia/). This product is already established, with thousands of clients in Japan, including some major corporations.

>>We develop the product to add functions, write test cases, & add front-end/mobile app functionality (DevOps).

Product Details –

https://kuroco.app/">https://kuroco.app/

https://www.diverta.asia/">https://www.diverta.asia/

Nature of work/tasks :

– We develop products with web-service customizations as per end-client requirements.

– We have regular projects as well as a wide range of challenging projects such as those in the fields of deep learning, etc.

Salary – commensurate with experience & ability (higher than industry standard)

Work hours – 160 hours per month

Timings – flexible, between 9 AM-9 PM on weekdays (Saturday & Sunday holiday)

There is a system of leave encashment for engineers who worked more than the specified time.

***This is a full time job.***

This is not for a complete remote position, it is hybrid (At office 50% / Work from Home <after probation> 50%).

Please feel free to contact us.