ServiceNow Developer

Key Responsibilities

1. Data Management & Reporting

• Collect, clean, validate, and consolidate data from multiple internal and external sources.

• Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

• Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

• Manage and regularly update internal databases, spreadsheets, and reporting systems.

• Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

• Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

• Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

• Translate data findings into clear, actionable insights and recommendations to support strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

• Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

• Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

• Proactively suggest new automation tools, system enhancements, or integrations to improve efficiency, accuracy, and scalability.

• Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

• Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

• Collaborate with Sales, HR, Finance, Operations, and other departments to understand reporting and data requirements.

• Provide support for ad-hoc analysis, custom reports, and special data requests.

• Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

• Maintain complete and updated documentation for MIS processes, reports, data models, automation logic, and system changes.

• Ensure compliance with company data governance policies and applicable data protection standards.

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System Development & Data Structuring Responsibilities

• Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

• Review existing manual and digital data systems to identify operational gaps, risks, and improvement opportunities.

• Recommend structured data models, reporting formats, and storage solutions aligned with business requirements.

• Coordinate with department heads to define data structures, access levels, and reporting standards.

• Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP integrations) with minimal operational disruption.

• Design structured data formats and role-based access controls to ensure secure and organized data management.

• Train employees on newly implemented systems and provide post-implementation support.

• Monitor system performance, resolve issues, and continuously improve systems based on user feedback and organizational growth.

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Qualifications & Experience

• Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

• 3–5 years of experience in data analytics, reporting, or system automation roles.

• Strong analytical thinking, logical reasoning, and problem-solving abilities.

• High attention to detail with excellent organizational and documentation skills.

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Technical Skills (Must Have)

• Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

• SQL: Complex joins, subqueries, CTEs, performance tuning

• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)

• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema

🚨 We’re Hiring | Support Engineer – Trading & Capital Markets 🚨

📍 Location: Bangalore

🕘 Shift: Night Shift

🎯 Domain Priority: Trading / Capital Markets ONLY

We are looking for a Support Engineer with hands-on experience in trading systems and capital markets, who thrives in fast-paced, high-availability environments and is passionate about client-facing technical support.

✅ Must-Have Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field
• 2+ years of experience in Application / Technical Support, preferably in the broking or trading domain
• Strong understanding of Capital Markets – Equity, F&O, Currency, Commodities
• Solid technical troubleshooting skills:
• Linux/Unix
• SQL
• Log analysis
• Familiarity with Trading Systems, RMS, OMS, APIs (REST/FIX), and order lifecycle
• Excellent communication and interpersonal skills for effective client interaction
• Ability to work under pressure during live trading hours and manage multiple priorities
• Customer-centric mindset with strong problem-solving and relationship-building abilities

🔍 Key Responsibilities

• Act as the primary point of contact for clients reporting issues related to trading applications and platforms
• Log, track, and monitor incidents using internal tools and ensure resolution within defined TATs
• Coordinate with Development, QA, Infrastructure, and other internal teams to drive timely resolution
• Provide clear, proactive, and regular updates to clients and internal stakeholders
• Maintain detailed logs of incidents, escalations, resolutions, and fixes for audits and future reference
• Support clients with queries related to system functionality, performance, and usage
• Communicate proactively with clients regarding product enhancements, features, and updates

⚠️ Note: Candidates with experience in the Trading / Capital Markets domain will be given first priority.

📩 Interested candidates can comment “Interested” or share their resume via DM.

Let’s connect and build reliable trading support systems together!

• Drive co-branded marketing initiatives with merchants.
• Plan and execute major campaigns to drive merchant sales.
• Proactively engage with the merchant's marketing team and be the point of contact from the company India marketing team.
• Plan year-long marketing activities to help merchants gain visibility among company users.
• Plan campaigns for the pipeline of merchants.
• Run ads on major platforms, including but not limited to Facebook, Google, Twitter. Build landing pages.
• Plan and manage the merchant marketing department's budget and prepare quarterly and annual reports.

Ideal Skills & Experience

• Bachelor’s degree with at least 4+ years of marketing experience in a B2C facing business.
• Although not mandatory, the experience of working in a Marketing Agency/FMCG Company/E-Commerce Company/Fintech Company is preferred.
• Experience in ideating and executing major campaigns.
• Experience in running ads on digital platforms, Facebook, Google, Twitter, etc.
• Knowledge of building landing pages on WordPress is preferred.
• Excellent communication skills and an eagerness to continuously learn emerging marketing trends and adopt the ones aligning with business objectives.
• Ability to coordinate and work with interdepartmental teams.
• Ability to manage multiple projects simultaneously, strong time-management skills to work efficiently in fast-paced environments.

About You

• A+ character. We are team-first here at the company.
• A hard-working mentality. It’s early and there is still a lot to build.
• An excellent communicator.
• A fun attitude. Life’s too short. We can have fun while we work hard on cool things.
• Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others.

Perks & Benefits

• Competitive salary and benefits
• Group Medical insurance
• Life and long term disability insurance
• Collaborative workspace
• The opportunity to join the fastest-growing startup alongside a team of a motivated and driven individual

Software Engineer

Opportunity in this role / Why should you join us?

- You are your own master.  We don't preach you, we just allow you to Innovate, Iterate, Learn and Adapt

- Work with one of India's leading fintech unicorn company

- ESOPs in the company

Requirements

• 3+ years and above exposure in the art of writing codes and solving problems for large scale
• Extensive and expert programming experience in any one programming language (strong OOPS skills preferred). Deep experience in a java programming language
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
• Have a penchant for solving complex and interesting problems.
• BE/BTech, MTech in Computer Science or related technical discipline (or equivalent).
• Excellent coding skills – should be able to convert the design into code fluently Good skills to write unit & integration tests with reasonable coverage of code & interfaces - TDD is a plus
• Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with the huge amount of data. Experience with

multi-threading and concurrency programming

• Ability to switch between the technologies and learn new skills on the go.

Roles and Responsibilities

• Drive discussions to create/improve the product, process and technology
• Build abstractions and contracts with separation of concerns for a larger scope
• Rapid prototyping
• Robust and scalable web-based applications
• Do high-level design with guidance; Functional modelling, break-down of a module
• Thinking platforms & reuse, the open-source contribution will be a plus
• Do incremental changes to architecture: impact analysis of the same
• Do performance tuning and improvements in large scale distributed systems
• Mentor young minds and foster team spirit.

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• 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 specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated 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.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ 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.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• 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 find 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.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.