Python Data Engineer
Location: Bangalore, India
Department: Software Development
Experience: 5-10
- Bring in industry best-practices around creating and maintaining robust data pipelines for complex data projects with / without AI component:
- programmatically retrieve (unstructured mostly) data from several static and real-time sources (incl. web scraping, API use)
- Structure this data into a structured format o Harmonize the data, into a common format and store it in a dedicated database.
- Schedule the different jobs into a dedicated pipeline
- rendering results through dynamic interfaces incl. web / mobile / dashboard with ability to log usage and granular user feedbacks
- performance tuning and optimal implementation of complex Python scripts, SQL,…
- 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 finetuning
- Build data tools to facilitate fast data cleaning and statistical analysis
- Build and 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 IT Transformation 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
- Experience working on industry standard services like Message Queue, Redis, Elastic Search, Kafka, or Spark Streaming
- Well versed with DevOps best practices like containerization, CICD pipeline (Jenkins and Maven)
- 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
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say