11+ Data cleansing Jobs in Chennai | Data cleansing Job openings in Chennai

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

Hi,

Greetings from Ampera!

we are looking for a Data Scientist with strong Python & Forecasting experience.

Title                               : Data Scientist – Python & Forecasting

Experience                   : 4 to 7 Yrs

Location                       : Chennai/Bengaluru

Type of hire                  : PWD and Non PWD

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Workdays                   : Mon - Fri

Job Description:

We are looking for an experienced Data Scientist with strong expertise in Python programming and forecasting techniques. The ideal candidate should have hands-on experience building predictive and time-series forecasting models, working with large datasets, and deploying scalable solutions in production environments.

Key Responsibilities

• Develop and implement forecasting models (time-series and machine learning based).
• Perform exploratory data analysis (EDA), feature engineering, and model validation.
• Build, test, and optimize predictive models for business use cases such as demand forecasting, revenue prediction, trend analysis, etc.
• Design, train, validate, and optimize machine learning models for real-world business use cases.
• Apply appropriate ML algorithms based on business problems and data characteristics
• Write clean, modular, and production-ready Python code.
• Work extensively with Python Packages & libraries for data processing and modelling.
• Collaborate with Data Engineers and stakeholders to deploy models into production.
• Monitor model performance and improve accuracy through continuous tuning.
• Document methodologies, assumptions, and results clearly for business teams.

Technical Skills Required:

Programming

• Strong proficiency in Python
• Experience with Pandas, NumPy, Scikit-learn

Forecasting & Modelling

• Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
• Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest, etc.)
• Understanding of seasonality, trend decomposition, and statistical modeling

Data & Deployment

• Experience handling structured and large datasets
• SQL proficiency
• Exposure to model deployment (API-based deployment preferred)
• Knowledge of MLOps concepts is an added advantage

Tools (Preferred)

• TensorFlow / PyTorch (optional)
• Airflow / MLflow
• Cloud platforms (AWS / Azure / GCP)

Educational Qualification

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

Key Competencies

• Strong analytical and problem-solving skills
• Ability to communicate insights to technical and non-technical stakeholders
• Experience working in agile or fast-paced environments

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

·      Process and verify invoices, payments, and expense reports.

·      Manage Accounts Payable (AP) and Accounts Receivable (AR) activities.

·      Perform bank, vendor, and customer account reconciliations.

·      Prepare daily, weekly, and monthly financial reports.

·      Monitor cash flow and assist in forecasting activities.

·      Support month-end and year-end closing processes.

·      Ensure compliance with company policies and accounting standards.

·      Coordinate with international teams and stakeholders during shift hours.

·      Maintain accurate financial records and documentation.

·      Assist in audit preparations and respond to audit queries.

·      Identify process improvement opportunities and support automation initiatives.

·      Taken care of additional responsibilities as assigned.

Required Qualifications

·      Bachelor's degree in Commerce, Finance, Accounting, or related field.

·      2 years of experience in Finance & Accounts.

·      Strong knowledge of AP, AR, General Ledger, and reconciliations.

·      Proficiency in MS Excel (Pivot Tables, VLOOKUP, formulas).

·      Good analytical and problem-solving skills.

·      Strong communication skills for interacting with global teams.

·      Willingness to work in permanent night shifts.

Key Skills

·      Financial Analysis

·      Accounts Payable & Receivable

·      Reconciliation

·      Reporting & MIS

·      Advanced Excel

·      Attention to Detail

About Company:

• Senior Engineer with a strong background and experience in cloud related technologies and architectures.
• Can design target cloud architectures to transform existing architectures together with the in-house team.
• Can actively hands-on configure and build cloud architectures and guide others.

• 3-5+ years of experience in AWS/GCP or Azure technologies
• Is likely certified on one or more of the major cloud platforms
• Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
• Ability to guide and lead internal agile teams on cloud technology
• Background from the financial services industry or similar critical operational experience
•  

Engineering Manager – Backend

Opportunity in this role / Why should you join us?

Series D funded supply chain startup.

Requirements

• Software engineering experience of greater than or equal to 7 years
• Experience managing a technical team of at least 3 people
• Exposure to consumer facing products
• Strong technical background and ability to contribute to design and review
• Familiarity with our tech stack or an analogous tech stack

Technologies Used

• Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
• Languages : Kotlin, Java, Ruby, Javascript, Python
• Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
• Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
• Server management : Amazon ECS, Docker
• Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture

Roles and Responsibilities

This role requires a person to drive the engineering of a set of products by aligning with business and product

stakeholders and building and upskilling a team to aid in this. The responsibilities include:

Business and product alignment and planning

• Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
• Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
• Formalize business requirements into roadmaps and sprints.

1. Product and system development

• Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
• Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
• Drive good code review practices, using the review process as a mentoring tool to upskill people.
• Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.

1. Project Management

• Drive the execution of the project by delegating tasks effectively.
• Resolve blockers through technical expertise, negotiation and delegation.
• Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.

1. Maintenance

• Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
• Performance monitoring and optimization for systems.
• Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.

1. Team Management

• Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
• Do periodic assessment of reportees, chart their career growth paths and train them.
• Recruit members into the team by collaborating effectively with the recruitment team.

Product Overview

You will be contributing to products concerning both customers and partner drivers. Product sectors

include:

• Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
• Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
• Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
• Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
• Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.

•Hands on experience in Object oriented programming

•Hands on experience in Java, SpringBoot (min 2 years) or kafka or Cassandra or MongoDB

•Experience with developing/enhancing applications connecting to different Databases : Oracle/MySQL/Cassandra/MongoDB

•Strong knowledge of common Data structures and algorithms and when to use them.

•Experience in Xpath or XML or REST or JSON or protobuff

• Experience with software version control (such as git)

•Experience in working in an agile environment such as Scrum.

Preferable:

•Experience in public cloud PaaS (AWS, GCP, Azure)

•Real time stream data handling (Kafka, Kinesis

Founded in 2012, the leader in digital identity verification technology for Day Zero and beyond. Our predictive analytics platform applies artificial intelligence and machine learning techniques, with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet, to verify identities in real-time. We have more than 400 customers across the financial services, gaming, telecom, and ecommerce industries, including three of the top five banks, seven top 10 issuers, three top MSBs, multiple tier-one payroll providers, the top credit bureau, and over 75 of the largest and most successful fintechs such as Varo Money, Public, Chime, and Stash. We are funded by some of the world's best investors and entrepreneurs including Accel, Scale Venture Partners, Commerce Ventures, Work-Bench, Sorenson, Citi Ventures, Wells Fargo Strategic Capital, Synchrony, MVB Bank, Santander InnoVentures, and Two Sigma Ventures.

Our trophy case includes numerous industry awards and accolades, including being named one of Forbes America’s Best Startup Employers 2021 as well as the Best New Technology Introduced over the Last 12 months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked #70 on Deloitte’s Technology Fast 500™, getting listed as a Gartner Cool Vendor, and winning Finovate’s Award for Best Use of AI/ML, to name a few!

The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in!

• 32-bit Microcontroller knowledge is essential (ARM Cortex based micro-controllers (STM32).
• Esp32 architecture knowledge is essential.
• Strong experience in C, C++, Free-RTOS
• Strong experience in CUBEMX IDE, MDK Version 5 – Keil, Arduino IDE environment
• Good knowledge in HW and communication protocols like CAN, SPI, UART, I2C, USB 
• Good knowledge in TFT Displays and Sensors is added advantage
• Good knowledge of implementation of motor controls as required, pulse width modulation schemes (PWM).
• Good knowledge of power electronics (TRIACs, MOSFETs, IGBTs, gate drivers) and require protections (Over/under voltage/current).
• Document firmware designs, specifications, test plans, revisions and produce test reports

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles