Data Engineer I/ Data Engineer II

Responsibilities: Ability to use data to drive products and decisions. Be able to explain complex technical concepts to various stakeholders leadership team, product managers, support, and other engineers. You will be involved in the design of data solutions using Hadoop based technologies along with Hadoop, AWS. Design and implementation of various Big Data platform components like (Batch Processing, Live Stream Processing, In----Memory Cache, Query Layer (SQL), Rule Engine and Action Framework ). Design and Implemented Data Access Layer, which can connect to various data sources and uses advanced caching techniques to provide fast responses to real time SQL queries using Big Data Technologies. Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies; spark architecture, Kafka, any Cloud computing etc. Collaborate with leadership to define and set standards for engineering rigor and help cultivate the culture in the team.

Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 252 million mobile customers, 25 million fixed-network lines, and 22 million broadband lines. Deutsche Telekom is present in more than 50 countries. With a staff of some 200,000 (Dec 31, 2023) employees throughout the world, we generated revenue of 111,9 billion Euros in the 2023 financial year. As of 2023, It is rated as the 9th most valuable brand in the world. Deutsche Telekom Digital Labs is the digital powerhouse that fuels Deutsche Telekom's vision to be a "Leading Digital Telco". We create compelling digital propositions for the worlds' largest Telekom giant by building scalable, agile and innovative platforms to provide the best of digital experience to Deutsche Telekom customers across Europe and US.