Customer Support Executive

Note-“Urgently Hiring – Immediate Joiners Preferred”

Data Engineering

Role & Responsibilities

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or dbt to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate

• Strong Data Engineer Profile
• Mandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.
• Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Preferred (Experience 1) – Exposure to data migration projects and/or data mesh architecture concepts.
• Preferred (Skill 1) – Experience with Spark/PySpark or large-scale data processing frameworks.
• Preferred (Company) – Experience working in product-based companies or data-driven environments.
• Preferred (Education) – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

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We are seeking a skilled and results-driven SEO Executive with 1–2 years of experience in On-Page, Off-Page, and Technical SEO to improve website rankings, organic traffic, and overall online visibility. The candidate should have strong expertise in keyword research, content optimization, meta tags, internal linking, backlink building, website audits, page speed optimization, mobile responsiveness, crawl error fixes, schema implementation, and performance tracking using tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, and Screaming Frog. The role requires the ability to analyze data, implement effective SEO strategies, monitor rankings, prepare performance reports, and continuously optimize websites for search engine growth while working independently and meeting deadlines

Prompt Engineer Intern (Intern → Full-Time)

AI Startup

We’re an early-stage AI startup founded by 2× entrepreneurs from IIT & IIM, building user-first AI products from day one. We move fast, talk to clients daily, and ship relentlessly.

We’re looking for a curious, driven Prompt Engineer Intern who wants real ownership—not just theory. This is a hands-on role with a clear path to full-time conversion based on performance.

If you enjoy decoding client needs, crafting precise AI prompts, and turning vague requirements into reliable workflows, this role is for you.

What You’ll Do

• Speak with clients regularly to deeply understand their requirements, use cases, and pain points
• Translate client feedback into optimized AI workflows, prompts, and system architectures
• Design, test, and refine prompts for LLMs to deliver accurate, efficient outputs
• Prioritize workflow improvements and write clear, actionable prompt specs and test cases
• Work closely with engineering and product teams to integrate prompts into live AI products and iterate based on results
• Track and analyze AI performance metrics (e.g., accuracy, latency, cost) to refine workflows
• Help shape the AI roadmap with a strong bias for execution, scalability, and client impact

What We’re Looking For

• Strong interest in AI, LLMs, prompt engineering, and building real-world AI solutions
• High client empathy and excellent written & verbal communication to bridge business needs with tech
• Fast learner with a hands-on, ownership-driven mindset
• Comfortable working in ambiguity, experimenting with prompts, and moving quickly
• No prior prompt engineering experience required—curiosity, hustle, and accountability matter more

Internship Details

• Duration: 6 months
• Conversion: Full-time opportunity based on performance
• Stipend: ₹10,000 - 15000 per month
• Full-Time CTC: ₹4.5+ LPA (performance-based)
• Ideal Profile: Aspiring Prompt Engineer with some exposure to AI projects, hackathons, side projects, or experimenting with LLMs (e.g., OpenAI, Grok)

What You’ll Learn

• Prompt Engineering: Crafting effective prompts, chain-of-thought, and advanced techniques
• Client-to-AI Translation: Converting business requirements into robust AI workflows
• Execution: Collaborating with engineers to deploy and scale AI systems
• Voice AI Ecosystem: Building workflows for voice agents and real-world applications
• AI Optimization: Using metrics to evaluate prompts, reduce costs, and boost performance
• Product Analytics: Data-driven iteration for client-facing AI solutions

If you want to build, optimize, and learn by doing, this is a high-impact opportunity to kickstart your Prompt Engineering career in AI.

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.

Job Description: Senior Software Engineer – C# (RMS – Risk Management Systems)

**Location:** [Insert Location]

**Job Type:** [Full-time / Contract]

**Experience:** 4–8 years

**Domain:** Capital Markets / Risk Management / Trading Applications

Job Description:

We are looking for an experienced Senior Software Engineer with deep expertise in C# and distributed systems, to design and maintain mission-critical Risk Management Systems (RMS) used in trading environments. The role requires strong understanding of real-time order flow, risk checks, queue management, and multi-threaded processing.

Key Responsibilities:

RMS Development:

·       Design, develop, and optimize real-time RMS components using C# and .NET Framework (4.0/4.7.2).

·       Implement rule-based and exposure-based pre-trade and post-trade risk checks.

·       Develop in-memory data structures to handle millions of order and trade records efficiently.

·       Build high-throughput queues and modules to handle burst loads during market open and spikes.

·       Debug multi-threaded modules and ensure accurate and timely risk validation.

·       Build alerting, threshold evaluation, and notification modules for risk violations.

·       Collaborate with product and trading teams to translate risk rules into executable modules.

Tools & Technologies:

·       Version control: Git or TFS.

·       Database: SQL Server or in-memory cache (Redis) for real-time exposure tracking.

·       Experience with messaging systems or queues (e.g., MSMQ, ZeroMQ, Kafka) preferred.

·       Proficiency with AI-powered tools such as GitHub Copilot and ChatGPT.

·       Prompt engineering skills to utilize AI for test case generation, debugging, and optimization.

Domain Knowledge (Must-Have):

·       Strong understanding of capital markets, especially equity and derivative segments.

·       Working knowledge of Order Management Systems (OMS), RMS policies, and market behavior.

·       Experience with exchange protocols (e.g., FIX, TCP) and market data processing.

·       Ability to handle peak load conditions and large-scale order bursts.

Preferred Qualifications:

·       Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

·       Prior experience working on RMS or surveillance systems in broking or exchange domain.

·       Familiarity with trading APIs and pre-trade/post-trade workflows.

Role: Oracle Apps DBA Consultant 

Exp: 4-6 years

As Oracle Apps DBA, able to implement Patching, Cloning, Backup and restoring RMAN. Having experience in Oracle 11i RAC, ERP 12.2 & experience in Performance tuning.

Responsibilities:

• · The Oracle Applications DBA will be responsible for the overall management and maintenance of Oracle EBS R12.2 applications & database, and other non-ERP Oracle databases.
• · The DBA will provide technical and operational DBA support for the day to day operations on ERP oracle database, ERP applications, and non-ERP Oracle databases for data warehouse and other applications.
• · The DBA will partner with technical, functional, development and business groups to ensure that database performance standards adhere to enterprise service level agreements