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Spark Skills: Example Usage on Resumes, Skill Set & Top Keywords in 2021
Volen Vulkov
4 minute read
Updated on 2021-07-26
Does the job application require Spark skills?
Only the best applicant will be considered for the job.
Fortunately, you know you have the skills and the knowledge to thrive at such a role. But how do you convince the hiring manager of that?
We’ve gathered a list of the best Spark skills to put on your resume:
See how to use Spark skills on your resume:
Experience
Data ScientistXleum
Engaged, recruited and activated startups on Microsoft platform driving 800+ BizSpark and 50+ BizSpark Plus adoption.
Provisioned 3 node Spark Cluster.
Provided stream support to Big-InFoActiv using Kafka and Apache Spark 2.0
Implemented critical algorithm using Scala with Spark and improving the performance by 90% /
Helped Lafla developing a Spark cluster in 2-weeks time
Contributed to +$1M dollar savings migrating SQL to Spark/Hadoop/Parquet
Conversion of 1000+ Informatica Power Center routines to IICS, SAS code into PySpark hosted on AWS Glue
These Spark skills are always in high demand:
- Big Data framing and analysis
- Programming languages: Python, Scala, Java
- Spark SQL
- Spark Streaming
- MLlib
- Elastic MapReduce
- Spark DataFrames and Datasets
- GraphX library
PRO TIPYou can feature your unique Spark skills in the experience section. To make your resume shine, write in an active language, and utilize direct action verbs. Also, try to include precise numbers for the results you achieved in your previous roles.
Power phrases for your Spark skills on resume
- Handled Machine Learning model development and data engineering using Spark and Python
- Applied statistical techniques and big data technologies using Spark to solve business challenges
- Provided technical leadership and guidance to interns on Spark project-related activities
What jobs require Spark skills:
- Data Scientist
- Software Engineer
- Full Stack .net Developer - Freelancer
- Full Stack Software Developer
- Data Engineer
- Software Developer
- Senior Data Scientist
- Senior Software Engineer
- Big Data Engineer
- Consultant
Read our article on how to add language skills on resume for additional tips and tricks.
Spark skills courses and certificates:
Apache Spark with Scala - Hands On with Big Data!Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
Spark and Python for Big Data with PySparkLearn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!
Taming Big Data with Apache Spark 3 and Python - Hands On!Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
Streaming Big Data with Spark Streaming, Scala, and Spark 3!Hands-on examples of processing massive streams of data - in real time, on a cluster - with Apache Spark Streaming.
Here are the top related skills to Spark:
- Python
- Java
- Hadoop
- Sql
- R
- Tableau
- Hive
- Aws
- Mysql
- Scala
- Machine Learning
- Kafka
- Mongodb
- Git
- Javascript
Spark popularity over time:
Courtesy of Google Trends
Check out our full guide on how to review your resume for additional tips.
About this report:
Data reflects analysis made on over 1M resume profiles and examples over the last 2 years from Enhancv.com.
While those skills are most commonly met on resumes, you should only use them as inspiration and customize your resume for the given job.
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