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Big Data Engineer
Entry Level
Job description
The Ideal Candidate
+ Good understanding of (one or more): system design, distributed systems, database systems, cloud infrastructure, security, performance optimizations
+ Ability to create simple, elegant design
+ Able to pick up a new language or framework in very short time
+ Love data and care about data security, correctness, and completeness
+ Excellent problem analysis and solving skills
+ Excellent communication skills and team player
+ Strong foundation in algorithms and data structures and their real world use cases
+ Production quality coding standards and patterns
+ Passion for developing amazing customer experiences
+ 4+ years of general software programming experience; at least one year of industry experience
+ Bachelor degree in Computer Science, Math, related technical field or equivalent practical experience
4+ years of modern, production level Python/Scala/JavaScript
Experience with large scale distributed computing, API design for distributed services
Experience with developing and maintaining production data pipelines, Kafka, Apache Spark, etc.
Experience with Spark Streaming, Spark SQL, Pyspark in a production setting
Knowledge of SQL and conventional databases
Experience in NOSQL technologies like Hbase, Cassandra, MongoDB
Experience with data preparation, transformation and analytical model development
Understanding of cloud, and distributed systems principles, including load balancing, networks, scaling, in-memory vs. Disk
Experience with cloud services like Lambda and Kinesis
Bash/Shell scripting
Continuous Integration / Continuous Deployment
+ Ability to create simple, elegant design
+ Able to pick up a new language or framework in very short time
+ Love data and care about data security, correctness, and completeness
+ Excellent problem analysis and solving skills
+ Excellent communication skills and team player
+ Strong foundation in algorithms and data structures and their real world use cases
+ Production quality coding standards and patterns
+ Passion for developing amazing customer experiences
+ 4+ years of general software programming experience; at least one year of industry experience
+ Bachelor degree in Computer Science, Math, related technical field or equivalent practical experience
4+ years of modern, production level Python/Scala/JavaScript
Experience with large scale distributed computing, API design for distributed services
Experience with developing and maintaining production data pipelines, Kafka, Apache Spark, etc.
Experience with Spark Streaming, Spark SQL, Pyspark in a production setting
Knowledge of SQL and conventional databases
Experience in NOSQL technologies like Hbase, Cassandra, MongoDB
Experience with data preparation, transformation and analytical model development
Understanding of cloud, and distributed systems principles, including load balancing, networks, scaling, in-memory vs. Disk
Experience with cloud services like Lambda and Kinesis
Bash/Shell scripting
Continuous Integration / Continuous Deployment
Job Description
Develop big data solutions for near real-time stream processing, as well as batch processing on the Big Data platform
Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis and develop a scalable solution
Keep up to date with new developments in the big data ecosystem and learn new technologies
Ensure on-time quality deliverable with ability to coordinate effectively with the rest of the team
Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis and develop a scalable solution
Keep up to date with new developments in the big data ecosystem and learn new technologies
Ensure on-time quality deliverable with ability to coordinate effectively with the rest of the team
Company Description
Our aim is to become a Centre of Excellence for Big Data & Analytics, Cloud solutions, Internet of Things and Business Intelligence, enabling our customers to use the best technologies and tools to accelerate their business, shorten their time to market, be agile and innovative.
Required skills
kafka
security
javascript
sql
python
cloud
kinesis
lambda
big data
hbase
cassandra
bash
continuous integration
nosql
mongodb
analytics
shell scripting
cloud infrastructure
pyspark
api design
load balancing
business intelligence
networks
data pipelines
distributed systems
scala
database systems
algorithms
system design
internet of things
scaling
data transformation
data structures
data preparation
apache spark
continuous deployment
spark sql
spark streaming
performance optimizations
in-memory
distributed services
analytical model development
large scale distributed computing
disk
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Company information
- Company
- QUARK TECHNOLOGIES SRL
- Location
-
Cluj
Romania - Posted
- 1 week ago
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