Data Engineer

Mandatory Criteria (Can't be neglected during screening) :

• Candidate Must have Project management experience.
• Strong hands-on experience with SQL, including the ability to write, optimize, and debug complex queries (joins, CTEs, subqueries).
• Must have experience in Treasury Module.
• Should have a basic understanding of accounting principles and financial workflows
• 3+ years of implementation experience is required.
• Looking candidates from Fintech company ONLY. ( Candidate should have Strong knowledge of fintech products, financial workflows, and integrations )
• Candidate should have Hands-on experience with tools such as Jira, Confluence, Excel, and project management platforms.
• Candidate should have Experience in managing multi-stakeholder projects from scratch.

Position Overview

We are looking for an experienced Implementation Lead to drive the onboarding and implementation of our platform for new and existing fintech clients. This role is ideal for someone with a strong understanding of financial systems, implementation methodologies, and client management. You’ll collaborate closely with product, engineering, and customer success teams to ensure timely, accurate, and seamless deployments.

Key Responsibilities

• Lead end-to-end implementation projects for enterprise fintech clients
• Translate client requirements into detailed implementation plans and configure solutions accordingly.
• Write and optimize complex SQL queries for data analysis, validation, and integration
• Oversee ETL processes – extract, transform, and load financial data across systems
• Collaborate with cross-functional teams including Product, Engineering, and Support
• Ensure timely, high-quality delivery across multiple stakeholders and client touchpoints
• Document processes, client requirements, and integration flows in detail.

Required Qualifications

• Bachelor’s degree in Finance, Business Administration, Information Systems, or related field
• 3+ years of hands-on implementation/project management experience
• Proven experience delivering projects in Fintech, SaaS, or ERP environments
• Strong understanding of accounting principles and financial workflows
• Hands-on SQL experience, including the ability to write and debug complex queries (joins, CTEs, subqueries)
• Experience working with ETL pipelines or data migration processes
• Proficiency in tools like Jira, Confluence, Excel, and project tracking systems
• Strong communication and stakeholder management skills
• Ability to manage multiple projects simultaneously and drive client success

Preferred Qualifications

• Prior experience implementing financial automation tools (e.g., SAP, Oracle, Anaplan, Blackline)
• Familiarity with API integrations and basic data mapping
• Experience in agile/scrum-based implementation environments
• Exposure to reconciliation, book closure, AR/AP, and reporting systems
• PMP, CSM, or similar certifications

Skills & Competencies

Functional Skills

• Financial process knowledge (e.g., reconciliation, accounting, reporting)
• Business analysis and solutioning
• Client onboarding and training
• UAT coordination
• Documentation and SOP creation

Project Skills

• Project planning and risk management
• Task prioritization and resource coordination
• KPI tracking and stakeholder reporting

Soft Skills

• Cross-functional collaboration
• Communication with technical and non-technical teams
• Attention to detail and customer empathy
• Conflict resolution and crisis management

What We Offer

• An opportunity to shape fintech implementations across fast-growing companies
• Work in a dynamic environment with cross-functional experts
• Competitive compensation and rapid career growth
• A collaborative and meritocratic culture

Designation: Game Designer

Department: Game Development Team

Location: Bangalore

Qualification: Any Graduate or Post Graduate

Experience: 3+ years of relevant experience in mobile game design, including at least one year on a game in live ops.

Responsibilities:

1. Experience building in-game content designed to appeal to a specific audience
2. Deep understanding of game currency and reward systems
3. Experience writing clear and concise specs, user flows, and feature documentation
4. Wide exposure to having played a variety of mobile and computer games
5. 300+ hours of obsessive gaming experience in the last 1 year.
6. Excellent written and verbal communication via phone, email and in-person meetings.
7. Strength in collaborating with cross-functional teams

Skills:

1. Proactivity - acts without being told; Brings new ideas in marketing.
2. Organization and Planning - schedule, budget, focus on key priorities. Highly process driven.
3. Handles pressure well - performs well under pressure; sets goals for self and product, and stays focused on the goals.
4. Team Player - Works well with cross-functional teams; overcomes obstacles by collaborating with others. Can inspire teams.
5. Analytical Skills - structure and process qualitative/quantitative data draw insights.
6. Attention to Detail - doesn’t let important details slip or derail projects.
7. Tech Skills - Strong technical background in game development
8. Creative- has the ability to think outside the box; willing to take calculated risks with innovative solution approaches
9. Decisive - ability to make informed decisions and stand by them

Salary: Upto 6LPA (Negotiable)

IMMEDIATE JOINING PREFERRED!

• Web-based portal development for end to end process management
• Work with the real-time feedback from users to make the product better
• Discover, design, develop, deploy, debug. Repeat! In highly agile environment.

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

Full Stack Developers at The Seenit Co. are passionate about using technology to create an impact on the world they live in. At Seenit, you will get to collaborate with an accomplished team that loves solving real-world problems. You will get to work on cutting edge projects that will shape the next phase of growth for the global luxury industry.

Seenit’s suite of products enables the leading luxury retailers around the world to transform their customer experience and build loyal relationships with their customers. The apps allow retailers to make use of their existing infrastructure and resources to deliver a truly omnichannel experience in today's rapidly changing world of shopping.

We would welcome someone to the team who:

• Loves to write “clean”, well designed code to solve complex problems
• Can design, develop and test the core product software and databases to ensure strong optimization and functionality
• Is inclined to contribute in all phases of the development lifecycle and takes end to end ownership of the project
• Follows best industry practices
• Is excited to support others to succeed and shine in a collaborative team culture

• 4+ years experience building backend services for production web applications
• Experience in working with AGILE methodology
• Experience deploying softwares to cloud providers such as GCP, AWS
• Good knowledge of NoSQL databases, and query optimisations
• Experience with MongoDB, Express JS, React JS, Node JS, TypeScript
• Experience with caching implementation using Redis
• Experience with Elastic Search will be an added advantage.
• Previous exposure to leading a team of 3 or more full stack developers will be an added advantage