Online Business Manager - Remote Except West Bengal

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.

Job Summary:

We are looking for a highly skilled and experienced Data Engineer with deep expertise in Airflow, dbt, Python, and Snowflake. The ideal candidate will be responsible for designing, building, and managing scalable data pipelines and transformation frameworks to enable robust data workflows across the organization.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines using Apache Airflow for orchestration.
• Develop modular and maintainable data transformation models using dbt.
• Write high-performance data processing scripts and automation using Python.
• Build and maintain data models and pipelines on Snowflake.
• Collaborate with data analysts, data scientists, and business teams to deliver clean, reliable, and timely data.
• Monitor and optimize pipeline performance and troubleshoot issues proactively.
• Follow best practices in version control, testing, and CI/CD for data projects.

Must-Have Skills:

• Strong hands-on experience with Apache Airflow for scheduling and orchestrating data workflows.
• Proficiency in dbt (data build tool) for building scalable and testable data models.
• Expert-level skills in Python for data processing and automation.
• Solid experience with Snowflake, including SQL performance tuning, data modeling, and warehouse management.
• Strong understanding of data engineering best practices including modularity, testing, and deployment.

Good to Have:

• Experience working with cloud platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).
• Exposure to modern data stack tools (e.g., Fivetran, Stitch, Looker).
• Knowledge of data security and governance best practices.

Note : One face-to-face (F2F) round is mandatory, and as per the process, you will need to visit the office for this.

What You’ll Do:

• Setting up formal data practices for the company.
• Building and running super stable and scalable data architectures.
• Making it easy for folks to add and use new data with self-service pipelines.
• Getting DataOps practices in place.
• Designing, developing, and running data pipelines to help out Products, Analytics, data scientists and machine learning engineers.
• Creating simple, reliable data storage, ingestion, and transformation solutions that are a breeze to deploy and manage.
• Writing and Managing reporting API for different products.
• Implementing different methodologies for different reporting needs.
• Teaming up with all sorts of people – business folks, other software engineers, machine learning engineers, and analysts.

Who You Are:

• Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
• 3.5+ years of experience in building and running data pipelines for tons of data.
• Experience with public clouds like GCP or AWS.
• Experience with Apache open-source projects like Spark, Druid, Airflow, and big data databases like BigQuery, Clickhouse.
• Experience making data architectures that are optimised for both performance and cost.
• Good grasp of software engineering, DataOps, data architecture, Agile, and DevOps.
• Proficient in SQL, Java, Spring Boot, Python, and Bash.
• Good communication skills for working with technical and non-technical people.
• Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious.

Key Responsibilities:

• Handle escalated voice calls transferred by L1 agents or supervisors.
• Provide expert-level support for complex issues and ensure timely resolution.
• Maintain ownership of tickets through resolution, keeping customers informed throughout the process.
• Coordinate with internal teams (Product, Engineering, QA, etc.) to resolve technical issues.
• Identify patterns in escalations and suggest process/product improvements.
• Document solutions, create knowledge base articles, and provide feedback to the L1 team to reduce future escalations.
• Meet or exceed defined KPIs such as First Call Resolution (FCR), CSAT, and Average Handling Time (AHT).
• Ensure adherence to SLAs and internal escalation protocols.
• Act as a mentor and point of contact for L1 agents when guidance is needed.

Requirements:

• 2–4 years of experience in customer support, with at least 1 year in L2 or escalations (voice process).
• Strong verbal communication skills with fluency in [English/Other relevant language].
• Experience with CRM and ticketing tools (e.g., Zendesk, Freshdesk, Salesforce).
• Ability to handle high-pressure situations and demanding customers with empathy and professionalism.
• Technical troubleshooting experience preferred (based on industry – SaaS, Telecom, FinTech, etc.).
• Willingness to work in rotational shifts or weekends, if required.
• Bachelor's degree or equivalent preferred.

Key Responsibilities:

 Taking ownership of customer issues reported and seeing problems through to resolution

 Understand, interpret, reproduce, and diagnose issues reported by the customers.

 Researching, troubleshooting and identifying solutions to resolve product issues

 Should be able to handle voice calls, emails and online web sessions with the customer as part of technical troubleshooting

 Should exhibit patience and empathy while working with customer with an aim to drive positive customer experience

 Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams

 Following standard procedures for submitting tickets to the engineering team for further investigation of unresolved issues

 Contributing actively towards knowledge base articles

 Adherence to strict SLA’s

 Ready to work in early morning, general and afternoon shifts, including weekends, on rotation basis

 Should demonstrate an aptitude and appetite for learning newer technologies while expanding on the core knowledge

 The engineer should be available to work in the late evening shift (4pm - 1am) if required.

Primary skills:

 3-8 years of relevant experience.

 Strong technical knowledge on:

• Cloud Technologies – AWS, Azure etc.
• Databases – SQL, Oracle, MySQL etc.
• Operating Systems – Linux, Windows etc
• Networking – Basic networking concepts and troubleshooting
•  Programming knowledge – Java, Python (Desirable, not a must has) o Prior experience with REST and SOAP calls.

 Excellent communication skills – English written and verbal

 HTTP technology and principles, including REST and SOAP principles (Required)

 JSON & XML Data formats (required)  Javascript Regular Expression (Good to have)

 Good understanding of networking protocols and applications (TCP/IP, proxies, load balancing, firewalls, etc.) (Required)

 Working knowledge of database technologies and SQL (Required)

 In-depth familiarity of Linux (Required) (advanced user; sysadmin experience a bonus, but not required)

 Strong analytical and logical reasoning for technical troubleshooting

 Ability to collaborate with cross-functional teams – Dev, QA, Infrastructure teams etc.

 Should be a team player who keeps team’s success before individual achievements

 Knowledge on data integration (Informatica/ Mulesoft)

Requirements:

• Proven experience as an OutSystems Solutions Lead or similar role.
• Extensive experience with the OutSystems platform, including architecture, development, and deployment.
• Strong understanding of software development lifecycle (SDLC) and agile methodologies.
• Excellent leadership, communication, and interpersonal skills.
• Ability to manage multiple projects and priorities effectively.
• Strong problem-solving skills and attention to detail. Certification in OutSystems is a plus.

Preferred Skills:

• Experience with other low-code/no-code platforms.
• Knowledge of web technologies such as HTML, CSS, JavaScript, and RESTful APIs.
• Familiarity with database management systems (e. g., SQL Server, Oracle).

• Proven experience as a Quality Assurance Tester or similar role

• Experience in project management and QA methodology.

• Ability to document and troubleshoot errors

• Working knowledge of test management software (e.g. Selenium, appium, Katalon, zika etc.) and SQL

• Understanding Test Requirements and analyzing the Application under Test(AUT)

• Generating Test Cases (Test Scripts) using Selenium Element locators and WebDriver API Commands.

• Enhancing Test cases using Java Programming.

• Debugging Test Cases and Fixing Errors.

• Executing/Running Test Cases

• Defect Reporting & Tracking

• Test Reporting

• Basic Understanding of Functional and Regression Test Automation

• Automation Framework Design & Implementation

• Testing of web and mobile apps (Android and iOS)

• knowledge of Java Programming

• Excellent communication skills

• Analytical mind and problem-solving aptitude.