Want to hire Data Engineering developer? Then you should know!
How and where is Data Engineering used?
- Real-time data processing: Collecting and analyzing data instantly
- Data warehousing: Storing and managing large volumes of data efficiently
- Data migration: Transferring data between systems seamlessly
- Data modeling: Designing data structures for optimal performance
- ETL processes: Extracting, transforming, and loading data accurately
- Big data analytics: Handling and analyzing massive datasets effectively
- Data quality management: Ensuring data accuracy and consistency
- Streamlining workflows: Automating data pipelines for efficiency
- Machine learning integration: Preparing data for AI and ML algorithms
- Scalability optimization: Scaling data infrastructure for growth
Compare Junior, Middle, Senior, and Expert/Team Lead Data Engineering Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| 50,000 |
Middle | 2-5 years |
| 80,000 |
Senior | 5-8 years |
| 110,000 |
Expert/Team Lead | 8+ years |
| 150,000 |
Quick Facts about Data Engineering.
- It all began in 1997, a time when Spice Girls ruled the charts!
- From ETL pipelines to real-time data processing, this tech does it all!
- Don’t worry, you don’t need to be a rocket scientist to start using it!
- Its best buddy is definitely Big Data – they make the dream team!
- Did you know? The first data engineer was actually a wizard in disguise!
TOP Data Engineering Related Technologies
- Apache Hadoop (Apache Software Foundation)
- Apache Spark (Apache Software Foundation)
- Python
Author: Doug Cutting, 2006
Author: Matei Zaharia, 2014
Author: Guido van Rossum, 1991
What are top Data Engineering instruments and tools?
- Airflow: Open-source platform by Apache, released in 2014
- Spark: Apache’s in-memory computation tool, released in 2014
- Kafka: A distributed event streaming platform by Apache, released in 2011
- Hadoop: Distributed storage and processing framework by Apache, released in 2006
- Flink: Distributed streaming dataflow engine by Apache, released in 2016
- Beam: Unified programming model by Apache, released in 2016
Talk to Our Talent Expert
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Maria Lapko
Global Partnership Manager