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Python
PythonRole : Web Scraping Engineer
Experience : 2 to 3 Years
Job Location : Chennai
About OJ Commerce:
OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention.
Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States.
As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.
Job Summary:
We are seeking a Web Scraping Engineer and Data Extraction Specialist who will play a crucial role in our data acquisition and management processes. The ideal candidate will be proficient in developing and maintaining efficient web crawlers capable of extracting data from large websites and storing it in a database. Strong expertise in Python, web crawling, and data extraction, along with familiarity with popular crawling tools and modules, is essential. Additionally, the candidate should demonstrate the ability to effectively utilize API tools for testing and retrieving data from various sources. Join our team and contribute to our data-driven success!
Responsibilities:
- Develop and maintain web crawlers in Python.
- Crawl large websites and extract data.
- Store data in a database.
- Analyze and report on data.
- Work with other engineers to develop and improve our web crawling infrastructure.
- Stay up to date on the latest crawling tools and techniques.
Required Skills and Qualifications:
- Bachelor's degree in computer science or a related field.
- 2-3 years of experience with Python and web crawling.
- Familiarity with tools / modules such as
- Scrapy, Selenium, Requests, Beautiful Soup etc.
- API tools such as Postman or equivalent.
- Working knowledge of SQL.
- Experience with web crawling and data extraction.
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Excellent communication and documentation skills.
What we Offer
• Competitive salary
• Medical Benefits/Accident Cover
• Flexi Office Working Hours
• Fast paced start up
Python
Data AnalyticsPosition Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.
Key Responsibilities:
- Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
- Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
- Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
- Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
- Optimize and tune data pipelines for performance, scalability, and reliability.
- Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
- Implement security measures and best practices to protect sensitive data.
- Stay updated with emerging technologies and best practices in data engineering and data visualization.
- Document processes, workflows, and configurations to maintain a comprehensive knowledge base.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
- Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
- Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
- Solid understanding of data analytics concepts and techniques.
- Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
- Proficiency in programming languages such as Python and SQL.
- Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent analytical and problem-solving skills with attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.
Preferred Qualifications:
- Advanced degree in Computer Science, Engineering, or related field.
- Certifications in Power BI or related technologies.
- Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
- Knowledge of machine learning concepts and frameworks.
JavaJob Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
A Reputed Analytics Consulting Company in Data Science field
Machine Learning (ML)
Data SciencePython
Job Title : Analyst / Sr. Analyst – Data Science Developer - Python
Exp : 2 to 5 yrs
Loc : B’lore / Hyd / Chennai
NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.
|
About the role:
We are looking for an Analyst / Senior Analyst who works in the analytics domain with a strong python background.
Desired Skills, Competencies & Experience:
• • 2-4 years of experience in working in the analytics domain with a strong python background. • • Visualization skills in python with plotly, matplotlib, seaborn etc. Ability to create customized plots using such tools. • • Ability to write effective, scalable and modular code. Should be able to understand, test and debug existing python project modules quickly and contribute to that. • • Should be familiarized with Git workflows.
Good to Have: • • Familiarity with cloud platforms like AWS, AzureML, Databricks, GCP etc. • • Understanding of shell scripting, python package development. • • Experienced with Python data science packages like Pandas, numpy, sklearn etc. • • ML model building and evaluation experience using sklearn.
|
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
In this role, candidates will be responsible for developing Tableau Reports. Should be able to write effective and scalable code. Improve functionality of existing Reports/systems.
· Design stable, scalable code.
· Identify potential improvements to the current design/processes.
· Participate in multiple project discussions as a senior member of the team.
· Serve as a coach/mentor for junior developers.
Minimum Qualifications
· 3 - 8 Years of experience
· Excellent written and verbal communication skills
Must have skills
· Meaningful work experience
· Extensively worked on BI Reporting tool: Tableau for development of reports to fulfill the end user requirements.
· Experienced in interacting with business users to analyze the business process and requirements and redefining requirements into visualizations and reports.
· Must have knowledge with the selection of appropriate data visualization strategies (e.g., chart types) for specific use cases. Ability to showcase complete dashboard implementations that demonstrate visual standard methodologies (e.g., color themes, visualization layout, interactivity, drill-down capabilities, filtering, etc.).
· You should be an Independent player and have experience working with senior leaders.
· Able to explore options and suggest new solutions and visualization techniques to the customer.
· Experience crafting joins and joins with custom SQL blending data from different data sources using Tableau Desktop.
· Using sophisticated calculations using Tableau Desktop (Aggregate, Date, Logical, String, Table, LOD Expressions.
· Working with relational data sources (like Oracle / SQL Server / DB2) and flat files.
· Optimizing user queries and dashboard performance.
· Knowledge in SQL, PL/SQL.
· Knowledge is crafting DB views and materialized views.
· Excellent verbal and written communication skills and interpersonal skills are required.
· Excellent documentation and presentation skills; should be able to build business process mapping document; functional solution documents and own the acceptance/signoff process from E2E
· Ability to make right graph choices, use of data blending feature, Connect to several DB technologies.
· Must stay up to date on new and coming visualization technologies.
Pref location: Chennai (priority)/ Bengaluru
Hi All,
We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.
Strong Knowledge of SCCM, App V, and Intune infrastructure.
Powershell/VBScript/Python,
Windows Installer
Knowledge of Windows 10 registry
Application Repackaging
Application Sequencing with App-v
Deploying and troubleshooting applications, packages, and Task Sequences.
Security patch deployment and remediation
Windows operating system patching and defender updates
Thanks,
Mohan.G
Machine Learning (ML)Data Science
R ProgrammingPythonML ARCHITECT
Job Overview
We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Creating automated anomaly detection systems and constant tracking of its performance
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Secure and manage when needed GPU cluster resources for events
- Write comprehensive internal feedback reports and find opportunities for improvements
- Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.
Skills and Qualifications
- Strong Hands-on experience in Python Programming
- Working experience with Computer Vision models - Object Detection Model, Image Classification
- Good experience in feature extraction, feature selection techniques and transfer learning
- Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
- Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
- Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
- Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
- Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
- Exposure to OpenCV Familiarity with GPUs + CUDA
- Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
- We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
- Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
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