Brand Marketing Manager

Bangalore / Chennai

• Hands-on data modelling for OLTP and OLAP systems
• In-depth knowledge of Conceptual, Logical and Physical data modelling
• Strong understanding of Indexing, partitioning, data sharding, with practical experience of having done the same
• Strong understanding of variables impacting database performance for near-real-time reporting and application interaction.
• Should have working experience on at least one data modelling tool, preferably DBSchema, Erwin
• Good understanding of GCP databases like AlloyDB, CloudSQL, and BigQuery.
• People with functional knowledge of the mutual fund industry will be a plus

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 5+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

Senior Robotics Engineer (ROS 2 Migration & Systems) - WorkFlow

Department: R&D Engineering

Location: Octobotics HQ (Noida/On-Site)

The Mission

To successfully migrate our legacy ROS 1 architecture to a high-performance ROS 2 Native ecosystem, architecting a navigation stack that survives the "unheard-of" edge cases of the real world.

1. The Context: The Great Migration

Octobotics is at a pivot point. Our legacy stack was built on ROS 1 (Noetic). It got us to MVP.

But to scale, we are tearing it down and rebuilding in ROS 2 (Humble/Iron).

We are not looking for someone to maintain old code. We are looking for an Architect to lead this migration. You will deal with the pain of bridging ros1_bridge, porting custom messages, and rewriting node lifecycles from scratch.

If you are afraid of breaking changes and complex dependency hell, stop reading now.

2. The "Scorecard" (Outcomes)

• The Migration: Port our core navigation and control logic from ROS 1 to ROS 2. This involves rewriting nodes to utilize Lifecycle Management and Node Composition for zero-copy transfer.
• Nav2 Architecture: We don't just "install" Nav2. You will write custom Behavior Tree plugins and Costmap layers to handle dynamic obstacles in unstructured environments.
• Middleware Optimization: You will own the DDS layer (FastDDS/CycloneDDS). You must tune QoS profiles for lossy WiFi environments and debug discovery traffic issues that traditional network engineers don't understand.
• Sensor Fusion & State Estimation: Implement and tune EKF/UKF pipelines (robot_localization) to fuse IMU, Wheel Odometry, and LiDAR. You must understand Covariance Matrices—if your covariance grows unbounded, you have failed.
• Serialization Strategy: Implement Protocol Buffers (Protobuf) for high-efficiency, non-ROS internal data logging and inter-process communication where overhead must be zero.

3. Technical Requirements (The Hard Skills)

The Stack (ROS 1 & ROS 2):

• Deep ROS 2 Mastery: You know the difference between spin(), spin_some(), and Multi-Threaded Executors. You understand why we are moving to ROS 2 (Real-time constraints, DDS security, QoS).
• Navigation Stack: In-depth knowledge of Nav2 (Planners, Controllers, Recoveries). You understand Global vs. Local planners (A*, DWB, TEB).
• SLAM & Localization: Experience with Graph-based SLAM (Cartographer, SLAM Toolbox). You know how to close loops and optimize pose graphs.

The Math (The "Weeder"):

• Linear Algebra & Geometry: Rigid body transformations are your second language. You understand Quaternions, homogeneous transformation matrices ($T \in SE(3)$), and how to avoid Gimbal Lock.
• Kinematics: You can derive Forward and Inverse Kinematics for Differential Drive and Ackermann steering chassis.
• Probabilistic Robotics: Understanding of Bayesian estimation. You know that sensors are noisy and that "Ground Truth" is a myth.

The Code:

• C++ (14/17): Real-time safe coding standards. RAII, Smart Pointers, and template metaprogramming.
• Python: For prototyping and complex orchestration.

4. The "Topgrading" Filter (Do NOT apply if...)

• You think roslaunch is the same as ros2 launch.
• You have never defined a custom .msg or .srv file.
• You struggle to visualize a TF tree in your head (map -> odom -> base_link).
• You think latency "doesn't matter" in a control loop.

5. The Challenge: Surfing the Tsunami

Let’s be honest: AMR (Autonomous Mobile Robots) is hard.

We are solving problems that are unheard of in the standard "warehouse" world. We deal with dynamic crowds, changing lighting, and network black holes.

There will be days when the Sensor Fusion drifts for no reason. There will be days when the DDS discovery fails because of a multicast storm. There will be architectural "Tsunamis" that threaten to wipe out our sprint.

We are looking for the engineer who doesn't run for higher ground, but grabs a board and says, "I’m ready to surf."

Job Title: PySpark/Scala Developer

Functional Skills: Experience in Credit Risk/Regulatory risk domain

Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting

Good to Have Skills: Exposure to Machine Learning Techniques

Job Description:

5+ Years of experience with Developing/Fine tuning and implementing programs/applications

Using Python/PySpark/Scala on Big Data/Hadoop Platform.

Roles and Responsibilities:

a)     Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in

 consumer and wholesale banking

b)     Enhance Machine Learning Models using PySpark or Scala

c)     Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

d)     Participate Feature Engineering, Training Models, Scoring and retraining

e)     Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

·       Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·       Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·       Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·       Flexibility in approach and thought process

·       Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

Description:

                         We are looking for skilled PHP developer with 1+ years of hands on experience in

                         Front - End and Back -End programming in PHP and MySQL.

Skills:

• MVC Framework (Laravel preferred /CI).
• CSS
• Bootstrap
• JavaScript
• jQuery
• MySQL

Preference will be given to:

• React JS
• Vue JS

About the role: We’re looking for a Node.Js Developer who can adapt to new tech stacks and innovate with cutting-edge technology solutions, to build eCommerce platforms that are unique, disruptive, and powerful.

What you'll do:
● Integrate user-facing elements developed by front-end developers with server-side logic
● Write reusable, testable, and efficient code
● Design and implement low-latency, high-availability, and performant applications
● Implement security and data protection integrations
● Integrate data storage solutions such as databases, key-value stores, blob stores, etc.
● Optimize components for maximum performance across a vast array of web-capable devices and browsers
● Ensure high performance and responsiveness to requests from the front-end.

What you'll need:
● Bachelor's degree with minimum 3 years of work experience as a Node Js.
● Strong proficiency in JavaScript or Typescript
● Understanding of Node.js and its frameworks such as Express or StrongLoop
● Understanding of the nature of asynchronous programming and its quirks and workarounds
● Basic understanding of front-end technologies, such as HTML5, and CSS3
● Understanding of accessibility, security compliance, user authentication and authorization between multiple systems, servers, and environments
● Understanding fundamental design principles behind a scalable application
● Understanding of code versioning tools, such as GIT
● Integration of multiple data sources and databases into one system
● Understanding of the differences between multiple delivery platforms, such as mobile and desktop and its optimization output
● Knowledge on creating database schemas that represent and support business processes
● Knowledge on implementing automated testing platforms and unit tests

Who Should Consider Joining:
● If you like challenges and think from a first principle basis,
● If you are driven to take ownership and are adept at rolling with the punches,
● If you have the aspiration to grow fast in the dynamic environment of a start-up,
● If you are a collaborative team member, who believes in collective success,
● If you are someone who makes objective, fact-based decisions

Who should not consider joining:
● If the role description does not excite you, then you should not join us
● We are a startup and things will move fast. If you are not comfortable in a fast-paced environment, then you should not join us
● If you are not a self-starter who is willing to learn & experiment more, then you should not join us.

What We Offer:
● Limitless growth and learning opportunities
● Exposure to cutting edge technology solutions and upcoming stacks in the market
● In house technical training on GIT, Automated Testing, Code Coverage, Language Training and much more
● A collaborative and positive culture — Your team will be as smart and driven as you.
● Guidance and mentorship from industry experts and renowned IIT Alumnus
● An opportunity to make an impact — Your work will contribute directly to our strategy and growth

• Hands-on programming expertise in Java OR Python
• Strong production experience with Spark (Minimum of 1-2 years)
• Experience in data pipelines using Big Data technologies (Hadoop, Spark, Kafka, etc.,) on large scale unstructured data sets
• Working experience and good understanding of public cloud environments (AWS OR Azure OR Google Cloud)
• Experience with IAM policy and role management is a plus

BI Head

Exp – Minimum 5+ years

Location Kota

The prospective candidate will be a key pillar standing between business and customers, translating data findings, challenges and processes into data driven product features. S/He will work on a daily basis in a skilled and awesome cross-functional team that will be developing and maintaining the product. S/He will assist the Product Owners and Mobile app business by interpreting internal and external data, providing insights and analytical support to drive customer acquisition, retention, business process, product marketing, on-going and new initiative decisions. S/He is expected to have a holistic analytics overview of the product and all the connected databases.

-   Own the overall design and support of the BI technology environment, including information acquisition, management, warehousing and delivery solutions.

-    Promote and facilitate the development of self-service capabilities for the business in the access and reporting of business information.

-    Setting up & monitoring the Mobile app KPIs to increase the usage and customer engagement

-    Configuring analytical solutions (e.g. Google Analytics) & analyzing insights to support the mobile app product and business strategy

-    Working with management to prioritize business and information needs.

Desired Skills :

- Team handling experience is must

- Candidate should be able to understand the requirement and works accordingly

- Graduate/PostGraduate in Engineering, BS in Mathematics, Economics, Computer Science, Information Management or Statistics

- Must have at least 4+ years of total work experience, + 3 years in data analytics in any e-commerce/marketing organization.

- Prior experience in data analytics in Fintech-Lending/ B2C /Mobile commerce /e-commerce company

- Strong knowledge and experience of reporting packages like Business Objects, databases like SQL.

- Experienced in analyzing customer behavior and large datasets generated by mobile app events

- Should have strong agility, proactive, drive forward and can-do attitude

- Must have strong communication, interpersonal and analytical skill