Machine Learning Engineer

Role: Data Engineer  
Company: PayU

Location: Bangalore/ Mumbai

Experience : 2-5 yrs

About Company:

PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.

The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.

Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.

India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments. 

PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants. 

Job responsibilities:

• Design infrastructure for data, especially for but not limited to consumption in machine learning applications 
• Define database architecture needed to combine and link data, and ensure integrity across different sources 
• Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems 
• Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed 
• Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
• Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions

Requirements to be successful in this role: 

• Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
• Strong experience with scalable compute solutions such as in Kafka, Snowflake
• Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc. 
• Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL) 
• A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks 
• Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI) 
• Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale 

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

https://www.freshprints.com/home" target="_blank">Fresh Prints is a New York-based custom apparel startup. We find incredible students and give them the working capital, training, and support to build the business at their schools. We have 400+ students who will do $15 million in sales over the next 12 months.

You’ll be focused on the next $50 million. Data is a product that can be used to drive team behaviors and generate revenue growth.

• How do we use our data to drive up account value?
• How do we develop additional revenue channels?
• How do we increase operational efficiency?
• How do we usher in the next stage at Fresh Prints?

Those are the questions the members of our cross-functional Growth Teamwork on every day. They do so not as data analysts, developers, or marketers, but as entrepreneurs, determined to drive the business forward.

You’d be our first dedicated Data Engineer. As such, you’ll touch every aspect of data at Fresh Prints. You’ll work with the rest of the Data Science team to sanitize the data systems, automate pipelines, and build test cases for post batch and regular quality evaluation.

You will develop alert systems for fire drill activities, build an immediate cleanup plan, and document the evolution of the ingestion process. You will also assist in mining that data for insights and building visualizations that help the entire company utilize those insights.

This role reports to https://www.linkedin.com/in/abilashls/" target="_blank">Abilash Reddy, our Head of Data & CRM and you will work with an extremely talented and professional team.

Responsibilities

• Work closely with every team at Fresh Prints to uncover ways in which data shapes how effective they are
• Designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data pipeline and automation services
• Create, restructure, and manage large datasets, files, and systems
• Take complete ownership of the implementation of data pipelines and hybrid data systems along with test cases as we scale
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Monitor and maintain overall Tableau server health

Experience Required

• 3+ years of experience in Cloud data ingestion and automation from a variety of sources using GCP services and building hybrid data architecture on top
• 3+ years of strong experience in SQL & Python
• 3+ years of experience with Excel and/or Google Sheets
• 2+ years of experience with Tableau server or online
• A successful history of manipulating, processing, and extracting value from large disconnected datasets
• Experience in an agile development environment
• Perfect English fluency is a must

Personal Attributes

• Able to connect the dots between data and business value
• Strong attention to detail 
• Proactive. You believe it’s always on you to make sure anything you do is a success
• In love with a challenge. You revel in solving problems and want a job that pushes you out of your comfort zone
• Goal-oriented. You’re incredibly ambitious. You’re dedicated to a long-term vision of who you are and where you want to go
• Open to change. You’re inspired by the endless ways in which everything we do can always be improved
• Calm under pressure. You have a sense of urgency but channel it into productively working through any issues

Education

• Google cloud certified (preferred)
• Bachelor in computer science or information management is a strong plus

Compensation & Benefits

• Competitive salary
• Health insurance (India & Philippines)
• Learning opportunities 
• Working in a great culture

Job Location

• This is a permanent WFH role, could be based in India or the Philippines. Candidates from other countries may be considered
• We will have an office in Hyderabad, India but working from the office is completely optional

Working Hours

• 3:30 PM to 11:30 PM IST 

Fresh Prints is an equal employment opportunity employer and promotes diversity; actively encouraging people of all backgrounds, ages, LGBTQ+, and those with disabilities to apply.

• Desire to explore new technology and break new ground.
• Are passionate about Open Source technology, continuous learning, and innovation.
• Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.

Qualifications

• Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
• You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
• Participate in code reviews and provide meaningful feedback to other team members.
• Create technical documentation.
• Develop thorough Unit Tests to ensure code quality.

Skills and Experience

• Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
• Experience with event-driven architecture design patterns and practices
• Experience in database design and architecture principles and strong SQL abilities
• Message brokers like Kafka and Kinesis
• Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
• Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
• Good understanding of distributed systems.
• Candidates will be self-motivated and display initiative, ownership, and flexibility.

Preferred Qualifications

• AWS Lambda function development experience with Java and/or Python.
• Lambda triggers such as SNS, SES, or cron.
• Databricks
• Cloud development experience with AWS services, including:
• IAM
• S3
• EC2
• AWS CLI
• API Gateway
• ECR
• CloudWatch
• Glue
• Kinesis
• DynamoDB
• Java 8 or higher
• ETL data pipeline building
• Data Lake Experience
• Python
• Docker
• MongoDB or similar NoSQL DB.
• Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
• Gradle and/or Maven.
• JUnit
• Git
• Scrum
• Experience with Unix and/or macOS.
• Immediate Joiners

Nice to have:

• AWS / GCP / Azure Certification.
• Cloud development experience with Google Cloud or Azure