Top 20 Spark Skills for Your Resume
- Python
- SQL
- Scala
- Hadoop
- Java
- Hive
- Machine Learning
- R
- Kafka
- AWS
- Mlib
- Git
- Sqoop
- Mapreduce
- MySQL
- Docker
- Tableau
- Javascript
- Hbase
- MongoDB
How to List Spark Skills on Resume
- Technologies: Scala, Spark, Kafka, AWS, Azkaban, Kafka-connect, python, bash.
- Developed Spark applications using Pyspark and Spark-SQL for data extraction, transformation and aggregation from multiple file formats for analyzing & transforming the data.
- Hands on experience in the Hadoop ecosystem components like HDFS, Hive, Sqoop, Spark, and Kafka.
- Implemented data pipeline using Azure Data Factory from ACME's systems to Azure Data Lake services using T-SQL, Spark SQL and Azure synapse Analytics.
- Built a Spark data pipeline using Azure Synapse Analytics and Synapse SQL.
- Use Spark DataFrame API and Spark SQL for transformation data to meaningful data for visualization.
Jobs That Demand Spark Skills
- Data Engineer
- Software Engineer
- Senior Software Developer
- Data Analyst Intern
- Data Scientist
- Senior Data Scientist
- Senior Big Data Engineer
- Senior Software Engineer
- Teaching Assistant
- Business Intelligence Consultant
- Azure
- Linux
- HDFS
- C++
- Deep Learning
- Elasticsearch
- English
- Real Time Streaming
- Core Java
- Akka
- Data Analysis
- Pandas
- C#
- HTML
- Data Pipelines
- Selenium
- ETL Tools
- Microsoft Suite
- Flask
- Flume