INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, IT and Software Engineering positions are at a much faster than average growth rate, which is 22%. With that said, there are currently 1,847,900 jobs in the market right now. The total number of jobs is expected to increase by 409,500 to 2,257,400 in the period of 2020-30.
What’s more, the median annual wage for the IT and Software Engineering jobs was $110,140 in May 2020. The lowest 10% earned less than $65,210, and the highest 10% more than $170,100.
Our conclusion? The IT and Software Engineering job market is facing competition due to decreasing demand.
Top hadoop developer sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
An Hadoop developer resume experience section to be proud of
Writing a strong experience section for your Hadoop Developer resume:
- List your previous jobs in chronological or reverse-chronological format;
- Use no more than 4-6 bullets per position;
- Mention only relevant work experience;
- Describe the tasks you were responsible for and how you managed to exceed expectations;
- Show you’re able to take charge by choosing action verbs over buzzwords.
Looking for real-life examples of what a strong experience section looks like? Check out our suggestions below!
- Learnt Hadoop Ecosytem tools.
- Got a chance to get working experience of over 1 year in Hadoop Ecosystem components as a Developer, processing and managing Big Data for scalability and high performance computing.
- Got expertise in Hadoop ecosystem components viz., HDFS, MapReduce, YARN, PIG, SQOOP ,HIVE, OOZIE, FLUME, MYSQL, SPARK & SCALA.
- Developed Generic Map Reduce job framework for ETL on Transaction data stored in Hive.
- POC to convert Map Reduce jobs to Spark Jobs and real time processing
- Design and development of Flexcube related assets using Oracle PL/SQL, JAVA, HP QTP.
- Requirement analysis for modules like CASA, Payments, Securitization /Funding.
- Experience in configuring, deploying the web applications on AWS servers using SBT and Play. Working knowledge of various AWS technologies like SQS Queuing, SNS Notification, S3 storage etc
- Performed configuration, deployment and support of cloud services including Amazon Web Services (AWS)
- Migrated Map Reduce jobs into Spark RDD transformations using Scala
- Developed Spark code using and Spark-SQL/Streaming for faster processing of data
- Used Spark API over Cloudera Hadoop YARN to perform analytics on data in Hive
- Developed Spark SQL to load tables into Hdfs to run select queries on top
- Converted all the processing from Netezza and implemented by using Spark data frames and RDD's
- Used Sqoop to extract data from various data sources into Hadoop Hdfs. This included data from Excel, ERP systems, databases, CSV and log data from sensors/meters
- Developed MapReduce programs to cleanse data
- Worked on managing data coming from different sources
- Worked in a team of 3 offshore and 2 onshore resources in successfully planning, designing and building the solution end to end which enables user driven analytics on top of the dealer data lake residing in hive
- Responsible for managing and scheduling jobs on Hadoop Cluster
- Hands on experience in database performance tuning and data modeling
- Actively involved in code review and bug fixing for improving the performance
- Good experience in handling data manipulation using python Scripts
- Used IMPALA to pull the data from Hive tables
- Worked with the key stakeholders of different business groups to identify the core requirements in building the next generation analytic solution using impala as the processing framework and Hadoop for storage on the current dealer data lake
- Experience in developing Map Reduce Job to transform data and store into HBase, Impala
- Used Flume to collect, aggregate and store the web log data from different sources like web servers, mobile and network devices to be pushed into HDFS
- Developed MapReduce programs in Java to convert data from JSON format to CSV and TSV formats to perform analytics
- Developed Pig Latin scripts for cleansing and analysis of semi-structured data
- Experienced in debugging MapReduce jobs and Pig scripts
- Used Pig as ETL tool to do transformations, event joins and pre-aggregations before storing the data into HDFS
- Experience in creating Hive tables, loading with data and writing hive queries
- Experience in migration of ETL processes from Relational databases to Hive to test the easy data manipulation
- Used Hive to analyze the partitioned and bucketed data to compute various metrics for reporting
- Written Hive and Pig UDFs to perform aggregation to support the business use case
PRO TIP
In writing your Hadoop Developer resume, you will no doubt want to list your previous duties - as you should. But steer clear of just listing your duties, instead of your achievements. Make your resume stand out by communicating what you have done, and not merely what the job needed you to do.
Action verbs for your Hadoop developer resume
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Taking Control of Your Hadoop Developer Resume’s Skills Section
A skills section that shows what you’re capable of includes:
- Keywords from the job advert to help you pass ATS;
- Both hard and soft skills, incl. technical skills and people skills;
- Skills that are relevant to the position you’re applying for;
- No more than 15 skills – to keep your resume readable.
Top skills for your Hadoop developer resume
Python
Java
Javascript
GIT
SQL
HTML
Teamwork and communication
Creative problem solving
Analystical thinking
Owning up to errors
Self-learning
Time management
PRO TIP
When describing your experience, don’t go too far from its terminology. Recruiters use ATS systems to filter resumes based on them having certain keywords, so make sure you use at least a few keywords mentioned in the job description.
Hadoop developer resume header: tips, red flags, and best practices
Checklist for your Hadoop developer resume header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
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PRO TIP
Some companies, states, and countries have non-discrimination policies about what kind of information can be included on your Hadoop Developer resume. This might include a photo (which is often included in a resume header and might be on personal web pages you link to). You can always email the company’s HR department to ask about their policies before you apply.
An Hadoop developer resume summary that spotlights your achievements
Checklist: A strong Hadoop Developer resume summary:
- Use adjectives that highlight the character traits you’re most proud of;
- Mention 1-2 of your biggest achievements;
- Add keywords from the job advert to increase your chances of passing ATS;
- Keep the recruiter’s attention by going for short sentences.
Resume summary formula:
PRO TIP
Your summary should act as an elevator speech, briefly promoting how you will benefit the employer if hired. Pitch your strengths in the summary and expand on them in your Hadoop Developer experience section. Give examples like how your work benefited each employer.
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Creating an impressive education section for your Hadoop Developer resume
The education section: checklist
- List your degrees in reverse-chronological order;
- Include your degree subject, place of study, name of institution, and year of graduation;
- Add a line or two about your relevant certifications;
- Mention some classes and projects that have helped you gain additional skills.
Top certifications for your Hadoop developer resume
Hadoop Developer In Real World
Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting
CCA 175 Spark and Hadoop Developer - Practice Tests
Do you want to evaluate yourself whether you are ready for CCA 175 Spark and Hadoop Developer Certification Exam?
Become a Hadoop Developer |Training|Tutorial
Learn Hadoop and get certified & bag one of the highest paying IT jobs in current times.
CCA 175 Spark and Hadoop Developer Certification - Scala
100% guarantee to pass CCA175 Certification Exam
Big Data Hadoop Developer Course with Handson
Learn HDFS, HIVE, HBASE, PIG, YARN, Advanced MapReduce concept 1, 2 and other important technologies
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PRO TIP
If you hold a certain major and a minor, your majors should be mentioned first.
A professional format for your Hadoop developer resume
There are some aspects worth taking into consideration when choosing the format of your Hadoop Developer resume. These include the position and company you’re applying for, your total years of experience, whether you’ve been through some employment gaps, and so on.
Generally speaking, there are three basic resume formats for you to choose from:
- Reverse-chronological resume format;
- Functional skills-based resume format;
- Combination (or Hybrid) resume format.
The reverse-chronological resume format is just that: all your jobs listed in a reverse-chronological way, starting from the most recent and moving backward. It’s great for highly experienced professionals with over 10 years in the industry behind their backs. The reason for this: it’s almost entirely focused on experience and achievements.
The functional skills-based resume format, on the other hand, is just the opposite. It’s based on your skills, personality, and expertise. It highlights what you’re capable of even when you don’t have sufficient work experience. This makes it great for students, recent graduates, or people with larger career gaps.
If neither of these sounds like you, go for the combination resume format. It’s a combination of the best characteristics of other formats, which makes it great for showcasing different aspects of your career and education. It also gives you plenty of options to choose from – in terms of colors, structure, and sections.
Check out our additional tips on perfecting your Hadoop Developer resume’s style and layout:
- Choose traditional 1-inch resume margins;
- Go for a serif or sans serif resume font that’s easy to read yet looks professional (e.g. Arial, Verdana, or Calibri);
- Keep your Hadoop Developer resume short: one-page template are preferable, but if you have over 10 years of experience, you can also go for a two-page format;
- Save your resume as PDF and choose a suitable name, e.g. NameSurnameResume;
Tired of looking for ways to make your resume stand out? Read this article!
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PRO TIP
If you feel that you don’t have high chances in a particular company, due to lack of relevant experience, then you can still consider using a creative layout. That might help you get noticed and invited for an interview, as most of the other applicants will have boring resume designs.
Additional sections for your Hadoop developer resume
After drafting the required sections of your Hadoop Developer resume, it’s now time to move to something a bit more fun. There are a number of sections you can add to your resume depending on the company, the position, and how you’re feeling in general:
Adding the right kind of creativity to your Hadoop developer resume
It is through creativity that we express ourselves. And trust us, it’s important to show at least a bit of your personality if you want to leave a strong first impression.
But what are the ways to add creativity to your Hadoop Developer resume? Well, you can either go for a colorful and engaging template, or you could add some out-of-the-box sections, such as ‘life philosophy’ or ‘what my typical day looks like’.
It’s up to you! Just make sure that the level of creativity matches the position, the company, and the industry you’re applying for.
What makes a great Hadoop developer resume: key takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
