ORGANISATIONAL DEVELOPMENT

Data Engineer

Data Lakehouse & Platform Engineering 

About the Role

We are hiring Data Engineer to own the lifecycle of our enterprise Data Lakehouse platform. We are looking for engineers who think in systems, make platform-level design decisions, and can build and operate a production-grade, multi-source lakehouse from the ground up, covering ingestion through consumption across a complex, multi-cloud source landscape.

You will be the technical authority for a platform that consolidates data from 18+ enterprise products (Costpoint, GovWin, Specpoint, Vantagepoint, and others) into a governed, medallion-architected data lake on AWS S3 with Apache Iceberg table format, orchestrated via AWS Step Functions, and queryable through AWS Athena and Trino. This role is end-to-end: you own ingestion, transformation, quality, orchestration, ML data supply, and BI consumption.

Key Responsibilities

•      Architect and evolve the full medallion lakehouse — Bronze, Silver, and Gold layers — on AWS S3 with Apache Iceberg; own schema design, partitioning, compaction, and retention policies.

•      Design and implement scalable Glue ETL (PySpark) pipelines for bronze_to_silver and silver_to_gold transformations, incorporating dbt for SQL-layer transformations where appropriate.

•      Own and extend CDC ingestion via Fivetran; manage schema evolution, connector health, and sync reliability across 18+ source products.

•      Build and maintain AWS Step Functions state machines and EventBridge schedules for end-to-end pipeline orchestration; implement Lambda-based quality and drift monitors.

•      Govern the Glue Catalog and Lake Formation policies; enforce column-level security, row-level access controls, and audit logging to meet SOC2 and regulatory requirements.

•      Architect the query layer — optimize Athena workgroups and partition pruning; plan and execute Trino-on-EKS deployment for sub-second analytics workloads.

•      Partner with data science teams on SageMaker data supply: feature engineering pipelines, training dataset preparation, and model registry integration.

•      Implement real-time and near-real-time streaming solutions using Kafka or Kinesis where sub-13-minute latency is required.

•      Lead platform modernization initiatives: evaluate emerging formats (Iceberg vs. Delta Lake vs. Hudi), tooling, and cost optimization strategies.

•      Establish and enforce data engineering best practices: code reviews, CI/CD for pipeline code, IaC (Terraform / CloudFormation), and incident response runbooks.

•      Mentor and level up junior and mid-level data engineers; define team standards for pipeline design, testing, and documentation.

Required Qualifications

•      Software or data engineering experience, with at least 4 years in an architect or technical lead capacity designing large-scale cloud data platforms.

•      Deep, hands-on expertise with AWS data services: S3, Glue (PySpark ETL), Athena, Step Functions, Lambda, EventBridge, Lake Formation, SageMaker, and CloudWatch.

•      Production experience with Apache Iceberg (or Delta Lake / Hudi) table formats — compaction, snapshot management, schema evolution, and time travel.

•      Strong PySpark and Python skills; ability to write, review, and optimize distributed data processing jobs at scale.

•      Hands-on experience with CDC-based ingestion platforms (Fivetran, Debezium, or equivalent) across heterogeneous source systems.

•      Proven experience designing and implementing medallion (Bronze/Silver/Gold) or equivalent multi-hop lakehouse architectures.

•      Experience with data pipeline orchestration: AWS Step Functions, Apache Airflow, or equivalent; event-driven pipeline design patterns.

•      Strong SQL skills; experience with Athena, Trino, Presto, or equivalent query engines for large-scale analytical workloads.

•      Familiarity with data governance tooling: catalog management (Glue Catalog, Apache Polaris/Iceberg REST), data lineage, access controls, and audit frameworks.

•      Experience with Infrastructure as Code (Terraform or CloudFormation) for data platform provisioning and drift management.

•      Solid understanding of dimensional modeling, schema design (star/snowflake), and data normalization for BI and analytics workloads.

•      Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent professional experience.

Preferred Qualifications

•      Experience operating Trino or PrestoDB on Kubernetes (EKS); tuning for sub-second query latency and multi-tenant workloads.

•      Familiarity with streaming platforms (Kafka, Kinesis, or Pub/Sub) and real-time lakehouse patterns.

•      Experience with Apache Polaris or other Iceberg REST catalog implementations.

•      Exposure to SageMaker MLOps pipelines, Model Registry, and feature store patterns for ML data supply.

•      Experience with dbt (data build tool) for SQL-layer transformation and documentation in lakehouse environments.

•      Government contracting or ERP domain knowledge (Costpoint, Deltek, Oracle, or similar enterprise platforms) is a strong plus.

•      AWS certifications: Data Engineer Associate, Solutions Architect Professional, or equivalent.

What You Will Build

You will be a founding architect of a strategic, cross-product data platform that serves 18+ enterprise applications and their analytics, ML, and AI workloads. The decisions you make on schema, storage format, query layer, governance, and orchestration will shape the data foundation of the company for years. This is a high-impact, high-ownership role with direct visibility to senior leadership.

About Us:

MyOperator is India’s leading Cloud Telephony platform, empowering 40,000+ businesses to communicate smarter. We’re now expanding into Conversational AI and Chatbots, aiming to build intelligent customer engagement solutions from the ground up. We're seeking a Product Manager with hands-on experience in building AI-driven chatbot products who can lead this initiative from zero to launch.

Key Responsibilities:

• Chatbot Product Ownership: Lead the end-to-end development of our chatbot product, from ideation, architecture definition, and MVP launch to scale-up.
• Product Strategy & Roadmap: Define and own the chatbot product vision and roadmap aligned with business goals and customer needs.
• Requirement Documentation: Draft comprehensive Product Requirement Documents (PRDs) detailing user stories, workflows, and technical integrations (LLMs, APIs).
• Conversation Design & UX: Collaborate with UX teams to craft intuitive conversational flows and ensure a seamless user experience across WhatsApp, Web, and App.
• AI/ML Collaboration: Work closely with Data Science and Engineering teams to integrate LLMs (OpenAI, Vertex AI) for dynamic, context-aware interactions.
• Data-Driven Decisions: Utilize tools like Mixpanel, Google Analytics, and bot analytics platforms to monitor user behavior, define success metrics, and iterate features.
• Cross-functional Leadership: Partner with Tech, Sales, Marketing, and Customer Success teams to align product development with market demands and go-to-market strategy.
• Project Management: Drive agile processes using Jira, ensuring timely sprint deliveries, backlog grooming, and resolution of blockers.

Qualifications:

• Experience: 2+ years in Product Management, with direct experience in chatbot or conversational AI product development.
• AI & LLM Knowledge: Strong understanding of Large Language Models (LLMs), NLP technologies, and experience integrating AI-powered chatbots.
• Platform Ecosystem: Exposure to WhatsApp Business API ecosystem and conversational commerce tools.
• Mobile & Web Product Understanding: Ability to oversee chatbot deployment across mobile apps and web platforms.
• Analytical Skills: Proficient in product analytics using Mixpanel, Google Analytics, or Adobe Analytics.
• Project Management Tools: Experience with Jira or similar agile project management tools.
• Education: Bachelor’s degree in Computer Science, Engineering, or Business; MBA is a plus.
• Soft Skills: Strong problem-solving skills, data-driven mindset, excellent communication, and collaborative leadership.

Why Join Us?

• Lead the Chatbot Product from zero-to-one in a fast-growing SaaS environment.
• Work with a cross-functional, high-impact team on cutting-edge AI solutions.
• Career growth and leadership opportunities in Conversational AI domain.
• Competitive compensation, remote-first work culture, and collaborative environment.

Job Description – Restaurant Manager (Italian Restaurant Chain)

Location: Pune

Experience: 5–6 years (Core F&B Service Operations – Restaurant Chain)

About the Role:

We are looking for an experienced and passionate Restaurant Manager to lead operations for our Italian fine-dining restaurant in Pune. The ideal candidate should have hands-on expertise in F&B service operations, team leadership, and guest engagement within a restaurant chain environment.

Key Responsibilities:

• Oversee day-to-day restaurant operations ensuring smooth service flow.
• Lead, train, and motivate the service team to deliver exceptional guest experiences.
• Manage reservations, guest relations, and handle escalations professionally.
• Ensure compliance with hygiene, safety, and service quality standards.
• Work closely with the kitchen team to maintain food quality and service synchronization.
• Monitor P&L, control costs, and drive revenue through upselling and promotions.
• Implement SOPs for service excellence and operational efficiency.
• Coordinate with corporate teams for marketing, audits, and brand standards.

Requirements:

• 5–6 years of proven experience in F&B service operations (restaurant chain preferred).
• Strong background in fine dining / Italian cuisine restaurants.
• Excellent communication, leadership, and guest-handling skills.
• Ability to manage a large team and maintain high service standards.
• Knowledge of POS, reservations systems, and basic financials.

Perks:

• Competitive salary with performance incentives.
• Growth opportunities within the restaurant chain.
• Dynamic work culture with exposure to international F&B standards.

software development and automated testing Proficient in Big Data technologies Designs, codes, tests, corrects and documents large and/or complex programs and program modifications from supplied specifications using agreed standards and tools, to achieve a well engineered result Proficient and Hands-on Data Warehousing,

Experience with Agile development, Continuous Integration, and Continuous Delivery Ability to effectively interpret technical and business objectives and provide solutions Strong communication skills, with ability to articulate technical solutions effectively across diverse group of stakeholders

Need to be a fast learner willing to adapt to evolving needs of the developer community.

Thanks & Regards

snehalata verma

IT Recruiter --HrBizHub

If you can put one leg into the analogue world and another leg into the digital world to quickly translate business objectives into technical recruitment into software screens... If you think the computer screen is the world that you really want to make an impact on it is more significant than life. Then come join us.

Think you’ve got it in you? Let’s check the requirements:

• Excellent verbal and written communication skills (They always say communication is key, don’t they?)
• Time management (Time is always of the essence at iThink)
• Organisational skills 
• Be well versed with the draw.io tool or any flow chart-making tool (going with the flow is good, but so is planning!) 

And that’s it! 

What duties does the job involve?

During your time as a Business Analyst on our ITL team, you will be:

• Enjoying your time with us

This we can assure you of, but apart from it, you will be required to:

• Creating technical reports, activity diagrams, BRD, FRD and manuals for the team (help us help others?)
• Developing workflow charts for system changes
• Monitoring each project's progress and optimising processes (concrete results for our efforts, you know?)
• Work as a SPOC between the Tech and Marketing Team and other stakeholders (like we said, coordination skills are a must!)
• Collaborate with project sponsors to determine project scope and vision (great minds don’t always have to think alike!) 
• Require Knowledge of the Balsamiq Tool.
• Should have a basic understanding of Figma.

• Manages the delivery of large, complex Data Science projects using appropriate frameworks and collaborating with stake holders to manage scope and risk. Help the AI/ML Solution
• Analyst to build solution as per customer need on our platform Newgen AI Cloud. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence.
•  

• Develop test plans alongside product designers and product engineers.
• Drive improvements to test framework architecture and test coverage.
• Drive adoption of best practices in code health, testing, testability, and maintainability (clean code, test pyramid).
• Track test gaps, quality, and productivity metrics. Work with other engineering teams to improve gaps from this data.
• Recommend improvements into overall best practices, design, testability and quality, and productivity.

Requirements

• 8+ years' experience of working in the Quality Engineering field
• 3+ Years of experience with UI & API test automation tools, (Selenium and etc.)
• 4+ years of experience in leading a team
• Proficient in TypeScript, Go, or a related programming language
• Experience with Continuous Integration systems (e.g., GitLab)
• Experience with AWS, Docker, and Kubernetes

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 start-up alongside a team of motivated and driven individuals