Production Support Analyst

Job Title : Sr. Data Engineer

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2-11 PM

Availability : Immediate

Job Description :

• We are seeking a Senior Data Engineer to design, develop, and optimize data solutions.
• The role involves building ETL pipelines, integrating data into BI tools, and ensuring data quality while working with SQL, Python (Pandas, NumPy), and cloud platforms (AWS/GCP).
• You will also develop dashboards using Looker Studio and work with AWS services like S3, Lambda, Glue ETL, Athena, RDS, and Redshift.
• Strong debugging, collaboration, and communication skills are essential.

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

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 

• Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
  • programmatically ingesting data from several static and real-time sources (incl. web scraping)
  • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
  • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment

• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Ensure data architecture is secure and compliant
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

•  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
• Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
• Expert in shell scripting and writing schedulers
• Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
• Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
• Strong knowledge of data security best practices
• 5+ years experience in a data engineering role
• Science / Engineering graduate from a Tier-1 university in the country
• And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep

Lantern Pharma is looking for talented and highly motivated R Shiny based front end web application developers to visualize the data analyzed / reports generated using bioinformatics pipelines. Leveraging your background and applying software engineering principles, to develop applications and tools in support of data visualization and reporting using R / R Shiny. You will be involved in generating complex graphs used for statistical analysis and interpretation using interactive libraries such as Plotly. In addition to development of new code, you will support and maintain standard R programs, which will comprise a library of code to be used for future development. This is a 6 months contract position (40 hrs / week) with possibilities of full time employment based on performance.

RESPONSIBILITIES:

• Design and develop interactive web applications using R / R Shiny to visualize ML outputs, multi-omics data and reports generated by bioinformatics pipelines
• Use the open-source or proprietary R libraries to build useful applications and packages
• Write efficient, clean and well tested code that adheres to best practices
• Organize data, analysis, reports, and applications into reproducible pipelines
• Test and debug applications to ensure they are working correctly, using both manual and automated testing techniques
• Stay up-to-date with the latest R packages and developments in the pharma industry
• Publish R packages to internal company repository
• Deploy and maintain the R Shiny web-application on the AWS server

BASIC QUALIFICATIONS:

• Bachelor's degree required (Master’s degree preferred) in a scientific discipline such as Statistics, Computer Science, Bioinformatics etc.
• Minimum 2 years of R / R Shiny, R Markdown experience with standard packages for data visualization and analysis
• Proven ability of building interactive R-shiny application (demo of the R-shiny application)
• Proficient in libraries such as ggplot2, plotly, dplyr, Highcharter and DT
• Must have experience in generating and working with R markdown reports
• Experience of AWS to host R shiny application is a plus
• Knowledge of cancer biology, genomics and drug development is a plus
• Familiarity with JavaScript, HTML, CSS, Python a plus
• Experience in building a database using Relational / Non relational Database (SQL / NoSQL)
• Must be capable of developing collaborative relationships with colleagues
• Must be self-motivated and have strong analytical, interpersonal, and project management skills
• Must demonstrate the ability to present ideas, issues, and observations in a clear manner

Lantern provides multiple growth opportunities and as an early team member, your work will have a direct impact on precision oncology that can transform drug development. In addition to attractive compensation, we offer employees the opportunity for competitive health, dental & vision insurance, stock options in a public company, an opportunity to take leadership on new and meaningful projects, & involvement with leading conferences & industry trade shows.

GaragePlug Inc

GaragePlug is one of the fastest-growing Automotive tech startups working towards revolutionising the automotive aftermarket industry with strong state-of-the-art technologies.

Position: Backend Developer (Java Spring Boot)

As we plan to grow, we have many challenges to solve. Some of the new features and products that are already in the pipeline include advanced analytics, search, reporting etc., to name a few. Our present backend is based on the microservices architecture built using Spring Boot. With growing complexity, we are open to using other tools and technologies as needed.

We are looking for a talented and motivated engineer to join our fleet and help us solve real-world problems in this exciting field. Join us and share the dream of building the next generation online platform for the Auto industry.

Experience: 1+ years of experience

What you'll do :

• End to end systems development
• Ownership of complete systems from development to production and maintenance
• Infrastructure management on AWS
• Technologies you'll use :
• Microservices, AWS, Java, Spring-boot
• Nginx
• PostgreSQL, Redis
• ElasticSearch
• Gradle / Maven
• Any cool piece of technology that you can bring onboard.
•  

What you are :

• You love technology and are always open to learning new tools
• You are a self-starter
• You are proficient in Java, SQL
• You have good knowledge of Databases: RDBMS/Document
• You have worked with server technologies: Spring / Dropwizard / Tomcat/Spring Boot
• You have a good understanding of REST API design
• You believe in clean and maintainable code

Location Fully Remote / Bangalore

Apply through this link
 https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2" target="_blank">https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2

• Make good engaging user interface
• Integrate apis and make it functional
• Writing tested and documented JS, HTML and CSS
• Perform product analysis and development tasks of increasingly complex nature which may require extensive research and analysis.
• Make design and technical decisions for REACT-JS projects.
• Ensuring high performance

Job Description:

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications.

Key Responsibilities

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and API's
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Requirements

• B.Tech Computer Science, Engineering or a related subject
• 4+ years of software development experience
• Have published at least one original Android app
• Experience with Android SDK
• Should have minimum 1 year of experience in React Native 
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.

• Hands on Experience on  PHP, Laravel, MySQL, jQuery, HTML5, Linux
• Knowledge of open source platforms like Wordpress will be an added advantage.
• Experience on Angular JS or React is preferable
• Experience using and deploying on Linux.
• Experience in teams using CI / CD Pipeline -  Git, Jenkins
• Experience working in agile methodology