AI Engineer

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

About Simpl 

The thrill of working at a start-up that is starting to scale massively is something else. Simpl (FinTech startup of the year - 2020) was formed in 2015 by Nitya Sharma, an investment banker from Wall Street and Chaitra Chidanand, a tech executive from the Valley, when they teamed up with a very clear mission - to make money simple, so that people can live well and do amazing things. Simpl is the payment platform for the mobile-first world, and we’re backed by some of the best names in fintech globally (folks who have invested in Visa, Square and Transferwise), and has Joe Saunders, Ex Chairman and CEO of Visa as a board member.

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of “making money Simpl”. Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modelling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market.

In place of traditional forms of identification and authentication, Simpl integrates deeply into merchant apps via SDKs and APIs. This allows for more sophisticated forms of authentication that take full advantage of smartphone data and processing power.

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We’re looking for polyglot developers who love to code. You should have >3 years of experience building high-quality products. You should have the ability to write clean code and must’ve worked on one of Ruby, NodeJS, Golang or Python

Responsibilities

1. Develop new features - build POCs, get feedback, and scale is our default mode
2. Building reusable and platform specific components
3. Translating designs and wireframes into high-quality code
4. Optimizing services for maximum performance
5. Ensure faster release cycles by managing distribution over the cloud 

Requirements

1. Hands-on experience in all aspects of software development - analysis, coding, writing tests, deployment, the works.
2. Knowledge of relational databases, SQL, ACID and distributed locking
3. Solid OOPS understanding.
4. Good exposure to building distributed systems, micro-services architecture.
5. Continuous delivery experience
6. Exposure to building platforms (not just products) would be a plus

• You will design and develop large scale distributed services.
• You will analyze and improve the efficiency, scalability, stability, and security of the platform as a whole.
• You will act as the primary owner of one or more components while driving innovation in your area of ownership.
• You will proactively research & evaluate new tools, technologies, and techniques to improve the value of the system.
• You will work with engineering leadership in solving and architecting solutions for challenging or complex development issues.
• You will work independently and handle dependencies with very minimal oversight.
• You will take initiatives in developing and maintaining integrations of best practices within the back-end.
• You will help identify systemic issues, performance bottlenecks and work on design/architect improvements.

• You have 2+ years of experience in product software development.
• You have designed and scaled up the system.
• You have a strong understanding of Data Structures and Algorithms.
• You are an incessant problem solver and tougher the problem gets, more fun you have.
• You have strong command in any one or more of the following languages: Python.
• You understand the business impact of your decisions.

We are looking for developers who are passionate about Python and know what are the benefits of python well.

Responsibilities:

• Design & implement new software modules based on the product requirements
• Debug existing software components, fix issues, and avoid regressions
• Be proactive, take ownership, and be accountable
• Familiar with Test Drive Development.
• Participate in software architecture, design discussions, and code reviews

Technologies we’re hiring for:

• Developed HTTP based REST APIs and implemented Authentication, Caching
• Worked with relational and NoSQL databases and aware of concepts like ORM, Migrations
• Languages & Frameworks: Python Django/Flask
• Database: Postgres/ Mongo
• Must have worked in a Unix/Linux based environment
• Advanced middleware like RabbitMQ, Celery Beat is definitely a plus.

Minimum 3+ year hands-on experience in Python needed

• 2+ years of Hands-on experience in Python, Django, Flask, Bottle, Design Patterns, Web Services (SOAP/HTTP, REST APIs)
• 2+ years of hands-on experience with Postgress, MongoDB.
• Experience with cache-store / message broker like Redis / RabbitMQ / Kafka
• Experience with AWS
• Experience in front-end development using react.js is a plus.
• Proficient understanding of code versioning tools, such as Git / Mercurial /bitBucket.
• DevOps knowledge to deploy code in production and hands-on experience with docker / Kubernetes.
• Self-motivated and a good team player.
• Good communication and interpersonal skills.
• Bachelor’s Degree in Engineering from a reputed Institute

We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Experience

12+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

10+ years of industry experience in java related frameworks such as Spring and/or Typesafe

Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python

Experience with popular modern web frameworks such as Spring boot, Play framework, or Django

Demonstrated expertise of building and shipping cloud native applications

Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Experience with cloud platform services such as AWS, Azure or GCP.

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Architect, Design and Implement Large scale data processing pipelines

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices