Data Engineer @ Tencent | Simplify Jobs

Data Engineer

Posted on 2/19/2022

INACTIVE

Locations

United States

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

AWS

Apache Kafka

Data Analysis

Data Science

Data Structures & Algorithms

Google Cloud Platform

Hadoop

Java

Management

Microsoft Azure

Redshift

Scala

Snowflake

SQL

Python

NoSQL

Requirements

Advanced degree in Computer Science, Engineering, Mathematics or equivalent technical field
Programming and scripting language (e.g. SQL, Python, Java/Scala, Golang)
4+ years of professional software development: experience in backend development experience with interest in work involving data pipelines, distributed systems, performance analysis, and large-scale data processing
Experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Impala, HBase etc.) for building efficient and large-scale data pipelines
Experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases
Dynamic team player with ability to manage numerous requests concurrently and strategically, prioritizing when necessary
Strong problem-solving skills with an ability to isolate, deconstruct and resolve complex data engineering challenges
Ability to communicate with worldwide business stakeholders regard data products and technical requests
Proven track record to clearly form and communicate ideas to both technical and non-technical worldwide audiences

Responsibilities

Design, build and own the core data models and systems that able to support petabyte of data pipeline across the Tencent's overseas games
Analyze large amounts of players' data with business use cases to bridge the gaps of data-driven lifecycles
Partner with multiple internal teams and external partners to collect requirements and deliver large-scale data solutions for various analytics and business applications
Collaborate with product managers to define, create, and maintain data applications and platform such as real-time platforms, data pipeline, telemetry implementation, and machine learning deployment to help achieve Tencent's publishing goals
The challenges range from building real-time and offline distributed data processing pipelines for feature engineering and automation as well as building systems and frameworks to deploy, scale, test, manage and monitor real-time machine learning models and user acquisition algorithms

Desired Qualifications

Experience strongly preferred building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others
Explore modern data storage, messaging, and processing tools (Kafka, Spark, Hadoop, Cassandra, etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar
Familiar with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance

Responsibilities:

Design, build and own the core data models and systems that able to support petabyte of data pipeline across the Tencent’s overseas games.
Analyze large amounts of players’ data with business use cases to bridge the gaps of data-driven lifecycles.
Partner with multiple internal teams and external partners to collect requirements and deliver large-scale data solutions for various analytics and business applications.
Collaborate with product managers to define, create, and maintain data applications and platform such as real-time platforms, data pipeline, telemetry implementation, and machine learning deployment to help achieve Tencent’s publishing goals.
The challenges range from building real-time and offline distributed data processing pipelines for feature engineering and automation as well as building systems and frameworks to deploy, scale, test, manage and monitor real-time machine learning models and user acquisition algorithms.

Qualifications:

Advanced degree in Computer Science, Engineering, Mathematics or equivalent technical field.
Programming and scripting language (e.g. SQL, Python, Java/Scala, Golang).
4+ years of professional software development: experience in backend development experience with interest in work involving data pipelines, distributed systems, performance analysis, and large-scale data processing.
Experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Impala, HBase etc.) for building efficient and large-scale data pipelines.
Experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases.
Dynamic team player with ability to manage numerous requests concurrently and strategically, prioritizing when necessary.
Strong problem-solving skills with an ability to isolate, deconstruct and resolve complex data engineering challenges.
Ability to communicate with worldwide business stakeholders regard data products and technical requests.
Proven track record to clearly form and communicate ideas to both technical and non-technical worldwide audiences.

Bonus:

Experience strongly preferred building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others.
Explore modern data storage, messaging, and processing tools (Kafka, Spark, Hadoop, Cassandra, etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar.
Familiar with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance.

Diversity, Equity & Inclusion at Tencent:
Diversity, equity and inclusion are important, interdependent components of our workplace. As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

10,001+ employees

Website

Entertainment and social conglomerate

Company Overview

Tencent's is on a mission to use technology for good. The company operates social messaging service WeChat and has produced some of the world's most popular games and content.

Company Core Values

Integrity: Uphold principles, ethics, openness and fairness.
Proactivity: Pursue positive contributions, volunteer for responsibility and push for breakthroughs.
Collaboration: Be inclusive and collaborative, strive to progress and evolve.
Creativity: Push for breakthrough innovations, explore the possibilities of the future.