Associate Data Engineer

Posted 13 Days Ago
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Īnd, Chamba, Himāchal Pradesh
Junior
Insurance
The Role
The Associate Data Engineer will develop data engineering solutions, assist in building big data reservoirs for ML models, optimize big data ecosystems, and support data science projects. Responsible for creating scalable data solutions for reporting and analytics, while adhering to guidelines and collaborating with senior engineers.
Summary Generated by Built In

Associate Data Engineer, Assurant-GCC, India

Associate Data Engineer reports to the Manager of Data Services and is responsible for developing Data Engineering solutions within established guidelines and standards.

This role assists with building massive reservoirs for big data, to support ML and statistical models for Data Scientists & Statisticians.

Associate Data Engineer assists with research and building of proof of concepts to test out theories recommended by Senior and Lead Data Engineers.

This position will be Remote at our India location. But we are looking for the candidates from Bangalore, Chennai & Hyderabad regions only.

What will be my duties and responsibilities in this job?

  • Gains a thorough understanding of the requirements and ensure that work product aligns with customer requirements.
  • Works within the established development guidelines, standards, methodologies, and naming conventions
  • Builds processes to ingest, process and store massive amount of data.
  • Assists with optimization the performance of bigdata ecosystems.
  • Wrangles data in support of data science projects
  • Performs productionization of ML and statistical models for Data Scientists & Statisticians
  • Develops, constructs, tests, and maintains scalable data solutions for structured and unstructured data to support reporting, analytics, ML and AI
  • Assists with research and building of proof of concepts to test out theories recommended by Senior and Lead Data Engineers
  • Work complexity is low and help from senior team members is expected. Staff Data Engineers work requires the application of a wide variety of established processes or methods.

What are the requirements needed for this position? 

  • Bachelor of Science in a related field preferred or working towards it
  • A total minimum of 2 years of design and development experience.

What is the Preferred Experience, Skills, and Knowledge needed for this position? 

  • Knowledge of CRISP-DM methodology relevant to Data Engineering i.e: Data preparation and Deployment.
  • Knowledge in Big Data technologies, concepts, and their applications for data processing.
  • Advanced knowledge of Business Intelligence, Data Warehousing.
  • Knowledge in fundamentals of Machine Learning and Artificial Intelligence using Microsoft technologies.
  • Performance tuning and code optimization in SQL.
  • Data profiling and dimension modeling techniques and creation of logical and physical data models.
  • Experience working with job scheduling tools.
  • Experience with SQL, Python, Linux Shell Scripting or MS Power Shell, Spark, NoSQL
  • Experience with Cloud Service Models: PaaS, IaaS, SaaS. Any Cloud Vendor out of three will be fine (Azure/GCP/AWS).
  • Strong communication skills with the ability to explain complex topics in a simple and understandable way to non-technical audiences.

Top Skills

Python
SQL
The Company
HQ: Atlanta, GA
0 Employees
Remote Workplace

What We Do

We work with the world’s top brands to make smart devices simpler. Vehicles last longer. Homes more secure. Problems easier to solve. And we volunteer in communities all over the globe to help the world become a greener, better place. We come from a variety of countries, cultures, and backgrounds. But we’re united by our enduring values of common sense, common decency, uncommon thinking, and uncommon results. So connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive.

We protect and secure:

62 million mobile devices
54 million motor vehicles
102 million household valuables, appliances, and electronics
31 million mortgages
55 million travelers and credit card holders

And that's just the beginning.

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