
The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.
Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.
Actively participates with other consultants in problem-solving and approach development.
Responsibilities :
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
Perform data analysis to validate data models and to confirm the ability to meet business needs.
Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.
Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.
Coordinate with Data Architects, Program Managers and participate in recurring meetings.
Help and mentor team members to understand the data model and subject areas.
Ensure that the team adheres to best practices and guidelines.
Requirements :
- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.
- Experience with Spark optimization/tuning/resource allocations
- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.
- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).
- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.
- Have a deep understanding of the various stacks and components of the Big Data ecosystem.
- Hands-on experience with Python is a huge plus

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Strong Full stack/Backend engineer profile
Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
Mandatory (Company) : Product companies (B2B SaaS preferred)
Preferred
Preferred (Location) - Mumbai
Preferred (Skills) : Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
Preferred (Education) : B.Tech from Tier 1,Tier 2 institutes
We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.
Key Responsibilities:
- Design, develop, test, and maintain scalable ETL data pipelines using Python.
- Work extensively on Google Cloud Platform (GCP) services such as:
- Dataflow for real-time and batch data processing
- Cloud Functions for lightweight serverless compute
- BigQuery for data warehousing and analytics
- Cloud Composer for orchestration of data workflows (based on Apache Airflow)
- Google Cloud Storage (GCS) for managing data at scale
- IAM for access control and security
- Cloud Run for containerized applications
- Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
- Implement and enforce data quality checks, validation rules, and monitoring.
- Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
- Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
- Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
- Document pipeline designs, data flow diagrams, and operational support procedures.
Required Skills:
- 4–8 years of hands-on experience in Python for backend or data engineering projects.
- Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
- Solid understanding of data pipeline architecture, data integration, and transformation techniques.
- Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
- Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
- Proven 2 to 12 years of professional experience in Node.js development
- Strong proficiency in JavaScript, including ES6+ syntax
- Expertise in designing and developing RESTful APIs and microservices architecture
- Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
- Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
- Solid understanding of asynchronous programming, event-driven architecture, and design patterns
- Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Familiarity with containerization technologies (e.g., Docker, Kubernetes)
What we want to accomplish and why we need you?
Jio Haptik is an AI leader having pioneered AI-powered innovation since 2013. Reliance Jio Digital Services acquired Haptik in April 2019. Haptik currently leads India’s AI market having become the first to process 15 billion+ two-way conversations across 10+ channels and in 135 languages. Haptik is also a Category Leader across platforms including Gartner, G2, Opus Research & more. Recently Haptik won the award for “Tech Startup of the Year” in the AI category at Entrepreneur India Awards 2023, and gold medal for “Best Chat & Conversational Bot” at Martequity Awards 2023. Haptik has a headcount of 200+ employees with offices in Mumbai, Delhi, and Bangalore.
What will you do everyday?
As a backend engineer you will be responsible for building the Haptik platform which is used by people across the globe. You will be responsible for developing, architecting and scaling the systems that support all the functions of the Haptik platform. While you know how to work hard, you also know how to have fun at work and make friends with your colleagues.
Ok, you're sold, but what are we looking for in the perfect candidate?
Develop and maintain expertise in backend systems and API development, ensuring seamless integrations and scalable solutions, including:
- Strong expertise in backend systems, including design principles and adherence to good coding practices.
- Proven ability to enhance or develop complex tools at scale with a thorough understanding of system architecture.
- Capability to work cross-functionally with all teams, ensuring seamless implementation of APIs and solutioning for various tools.
- Skilled in high-level task estimation, scoping, and breaking down complex projects into actionable tasks.
- Proficiency in modeling and optimizing database architecture for enhanced performance and scalability.
- Experience collaborating with product teams to build innovative Proof of Concepts (POCs).
- Ability to respond to data requests and generate reports to support data-driven decision-making.
- Active participation in code reviews, automated testing, and quality assurance processes.
- Experience working in a scrum-based agile development environment.
- Commitment to staying updated with technology standards, emerging trends, and software development best practices.
- Strong verbal and written communication skills to facilitate collaboration and clarity.
Requirements*:
- A minimum of 5 years of experience in developing scalable products and applications.
- Must Have Bachelor's degree in Computer Engineering or related field.
- Proficiency in Python and expertise in at least one backend framework, with a preference for Django.
- Hands-on experience designing normalized database schemas for large-scale applications using technologies such as MySQL, MongoDB, or Elasticsearch.
- Practical knowledge of in-memory data stores like Redis or Memcached.
- Familiarity with working in agile environments and exposure to tools like Jira is highly desirable.
- Proficiency in using version control systems like Git.
- Strong communication skills and the ability to collaborate effectively in team settings.
- Self-motivated with a strong sense of ownership and commitment to delivering results.
- Additional knowledge of RabbitMQ, AWS/Azure services, Docker, MQTT, Lambda functions, Cron jobs, Kibana, and Logstash is an added advantage.
- Knowledge of web servers like Nginx/Apache is considered a valuable asset.
* Requirements is such a strong word. We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.
Tell me more about Haptik
- On a roll: Announced major strategic partnership with Jio.
- Great team: You will be working with great leaders who have been listed in Business World 40 Under 40, Forbes 30 Under 30 and MIT 35 Under 35 Innovators.
- Great culture: The freedom to think and innovate is something that defines the culture of Haptik. Every person is approachable. While we are working hard, it is also important to take breaks to not get too worked up.
- Huge market: Disrupting a massive, growing chatbot market. The global market is projected to attain a valuation of US $0.94 bn by the end of 2024 progressing from US $0.11 bn earned in 2015.
- Great customers: Businesses across industries - Samsung, HDFCLife, Times of India are some that have relied on Haptik's Conversational AI solutions to engage, acquire, service and understand customers.
- Impact: A fun and exciting start-up culture that empowers its people to make a huge impact.
Working hard for things that we don't care about is stress, but working hard for something we love is called passion! At Haptik we passionately solve problems in order to be able to move faster and don't shy away from breaking things!
Responsibilities
• Determines technical feasibility of medium to low complexity features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.
• Exercises judgment in prioritizing tasks and selecting methods and techniques for obtaining solutions.
• Create a low-level design of modules of a software application through proper documentation and diagrams.
• Develops software solutions by studying requirements, clarifying customer/user needs, analyzing data and processes, and following established software development practices and processes.
• Develops proof of concepts for technical evaluation and early customer feedback.
• Updates and shares knowledge by studying state-of-the-art development tools, programming techniques, and computing technology; reading professional publications.
• Networks with internal and external personnel in their area of expertise.
Requirements
• B.Tech/B.S. or M.Tech/M.S. in Computer Science, IT or related field.
• 3-5 years of experience
Visit us on :
Mandatory Skills
• Should be proficient in the following areas of .NET (.NET 4.5 or above, .NET Core)
• Expert in C# and ASP.NET
• Knowledge of JavaScript/TypeScript is a plus
• Development of Windows and Web services
• Parallel and Asynchronous programming
• Unit testing, Linq, ORM
• Debugging/troubleshooting in .Net
• Should be proficient in SQL Server 2012 and above in the following areas
• T-SQL Stored Procedures
• Transaction in SQL
• Should have the following design skills
• Expert in OOPs
• Proficiency in Design Patterns
• Proficiency in Unit testing Patterns
• Understanding of Algorithms and Data structures.
• Experience on Requirement/Design/Code Review & Inspections
• Excellent problem-solving and analytical skills.
Desirable Skills
• Hands-on experience with using Git (handling branching and merging), any DevOps pipeline
• Experience with Agile methodologies
Job Description:
We are looking for a Java Developer with experience in building high-performing, scalable,enterprise-grade applications.
You will be part of a talented software team that works on mission-critical applications. Java
developer roles and responsibilities include managing Java/Java EE application development
while providing expertise in the full software development lifecycle, from concept and design to
testing.
Responsibilities and Duties
• Contribute to all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs should follow compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and
presenting these for architectural review
Qualifications
• BS/MS degree in Computer Science, Engineering, or a related subject
• Minimum 4.5 to 6 years of software development experience
• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE
platforms
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2,
Hibernate)
• Experience in the Spring Framework
• Very good English communication skills
• Optional:
o Good to have the knowledge of Angular JS framework.
o Experience to work on the Microservice architecture.
o Experience to work with Git hub & bitbucket.
o Agile methodology.
Advanced proficiency in MEAN Stack (NodeJS, MongoDB, Express, Angular JS)
Proficiency and hands-on experience with one or more of the following: Backbone / Knockout JS / Ember JS / React JS
Knowledge of JQuery would be an added advantage
Thorough knowledge of software development best practices, including coding standards, code reviews, source control management, build process, continuous integration and continuous delivery
Thorough knowledge of Node.JS, MongoDB, Angular JS, Express JS and JavaScript
Ability to plan core architecture, and to enhance it from time to time
Strong analytical mindset to derive actionable analytics from data
Need Backend developer who has done projects in Golang, C
- discussing clients’ requirements and proposed solutions with a senior developer (for developers at mid-skill level and below)
- writing and testing code
- collaborating with other developers
- using development tools (see below)
Development tools are used by software developers to write and test code, often as a team. Common development tools include:
- integrated development environments (eg Eclipse, IntelliJ): for writing and editing code
- source control management (eg Git, SVN, Mercurial): to enable teams to work together to manage changes to source code
- issue management systems (eg Jira): for managing a list of issues or improvements
- test driven development: for writing code to test your code










