Try to mention the versions of software & frameworks.
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A resume is a digital parchment which will set your first impression in front of your interviewer & will be clearing the first round of screening for you. When it comes to elite job roles such as Big Data Engineer where the responsibilities & expectations are high, the resume must be self-descriptive & impressive. This blog on Big Data Engineer Resume will help you in building one.
Experience & skills are the most important part of your resume. Make sure it is aligned with the job requirements.
The aptest way to start building a Data Engineer resume is by looking at some real job responsibilities.
Big Data Engineer Job Description
Big Data Engineer Responsibilities
Without wasting any time, let us quickly go through some job descriptions which will help you understand the industry expectations from a Big Data Engineer. You can prepare yourself accordingly.
- Dell – Big Data Engineering
- Ericsson – Big Data Engineer
- Walmart Labs – Data Engineer
Let us conclude the responsibilities of a Big Data Engineer/ Data Engineer. You can learn more from this Data architect course. Now let us move to the most awaited part of this Big Data Engineer Resume blog.
Big Data Engineer Responsibilities:
- Designing, creating, testing and maintaining the complete data management & processing systems.
- Working closely with the stakeholders & solution architect.
- Ensuring architecture meets the business requirements.
- Building highly scalable, robust & fault-tolerant systems.
- Taking care of the complete ETL process.
- Discovering data acquisitions opportunities
- Finding ways & methods to find value out of existing data.
- Improving data quality, reliability & efficiency of the individual components & the complete system.
- Creating a complete solution by integrating a variety of programming languages & tools together.
- Creating data models to reduce system complexities and hence increase efficiency & reduce cost.
- Introducing new data management tools & technologies into the existing system to make it more efficient.
- Setting & achieving individual as well as the team goal.
Advancing ahead, now we need to look at the skills that organizations demand to fulfill these job responsibilities.
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Required Big Data Engineer Skills
The most judicious way to comprehend the required skills is by looking at the same job descriptions.
- Dell – Big Data Engineering
- Ericsson – Big Data Engineer
- Walmart Labs – Data Engineer
Absolutely right! Now we are going to find out the important skills which will help us in resume building & preparing for the interviews.
Big Data Engineer Skills:
- Knowledge of Hadoop ecosystem and different frameworks inside it – HDFS, YARN, MapReduce, Apache Pig, Hive, Flume, Sqoop, ZooKeeper, Oozie, Impala and Kafka
- Real-time processing Framework (Apache Spark)
- Database architectures
- SQL-based technologies (e.g. MySQL/ Oracle DB)
- NoSQL technologies (e.g. Cassandra and MongoDB)
- Programming Languages: Python/R/Java
- ETL/Data warehousing Solutions(Talend, Informatica)
- Knowledge of different Operating System – UNIX, Linux, Solaris or MS Windows
- Knowledge of SOA, Graph Database, CI/CD Pipeline, monitoring & alert would be a plus point.
Apart from these technical skills you also need to mention your interpersonal skills such as strong communication skills, leadership skills, managerial skills, problem-solving skills, etc. which would prove your competency. To gain in-depth knowledge about the skills required to become a Big Data Engineer, go through this Big Data Engineer skills blog.
Now let us focus on the important points which we should keep in mind while building any resume.
Resume Building
Resume is your first impression in front of an interviewer. It is the first & most crucial step towards your goal. There are two ways in which you can build your resume:
- Chronological: This is the traditional way of building a resume where you mention your experience in the manner it took place. This type of resume is preferred in conservative fields.
- Functional: This is a whole new approach where you mention your most relevant experience based on the required skills. Here your recruiter doesn’t have to go through the whole resume to find out the required skills. This is a more focused and concise way of portraying yourself in front of an interviewer. You can even check out the details of Big Data with the Azure Data Engineer Course in Pune.
There are some key point to be kept in mind while building your resume.
- The first thing which you need to keep in mind is, your resume should be consistent, concise & clear in terms of formatting & the message that you are trying to convey.
- Keep your resume updated. Building or updating your resume is really tiresome, but the more time you invest in building one, the higher are the chances of you getting selected. Recruiter receives hundreds of resumes for a single job, and your resume is the one which will be clearing the first round for you.
- For someone, less than 8 years of experience should have a single page resume. You should at most carry a two pages resume. After two pages the resume becomes lengthy and the interviewer becomes uninterested in reading it.
- Try to make a functional resume if you have 2+ years of experience, where you only put the relevant experience rather than flooding it with everything. Give priorities to those skills which are required for that particular job. It’s always better to build a custom resume for each & every job.
- List the activities & mentioning your role in that activity. This is where you showcase your interpersonal skills such as leadership, team player etc. Also, list the awards that you have achieved to prove your potential in different fields.
- Your hobbies play an important role in breaking the ice with the interviewer. This section also shows that you are an all-rounder with various skills & hobbies.
You can learn more from the Azure Data Engineering Course. Now let us move to the most awaited part of this Big Data Engineer Resume blog.
Big Data Engineer Resume
Now talking specifically about Big Data Engineer Resume, apart from your name & personal details, the first section should be your work experience.
Work Experience
You should always start with the relevant work experience which will quickly draw the attention your recruiter. It should state the responsibilities which you have taken & your learnings from them in a very concise, crisp and clear manner.
You can divide your experience in the following parts:
- Designation
- Name of the Organisation
- Duration of Employment
- Job responsibilities in brief
- Your learning or experience from that job
Sample:
EXPERIENCE: DATA ENGINEER – Bank of America
July 2015 – Present
Worked as a Big Data Engineer in the Risk Management Team where the Bank wanted to store, process & manage the huge amount of data in day to day operations collected from various sources. The system majorly checks the credibility of the customer & looks for the credit risks.
- Collaborated with various team & management to understand the requirement & design the complete system
- Implemented the complete Big data pipeline with real-time processing
- Worked with Cloudera 5.11.x and its different components
- Used Spark 2.1.x API to stream data from various sources in real-time
- Developed Spark code in Scala using Spark SQL & Data Frames for aggregation
- Worked with Sqoop to ingest & retrieve data from various RDBMS like Oracle DB & MySQL
- Created schema in Hive with performance optimization using bucketing & partitioning
- Worked rigorously with Impala 2.8.x for executing ad-hoc queries
- Written Hive queries to transform data for further downstream processing
- Created Oozie workflow jobs for scheduling queries & actions
- Involved in the end to end deployment process
Senior Software Engineer – Tata Consultancy Services
June 2013 – July 2015
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Java Developer – Deloitte
Nov 2010 – July 2013
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There are some key factors in the above resume which will not only give you a stronger hand but will also impress your employer.
Try to mention the versions of software & frameworks.- Looking at the job description you can tweak your experience likewise & mention those tools & skills which are required by the organization.
- The Big Data Engineer job experience is more relevant, so I have elaborated the first part. While writing about my Java Developer & Sr. Software Engineer jobs, I will only include those skills which seem necessary for Big Data Engineer Role.
- You need to understand that there are a plethora of tools for a single purpose and you can’t master all of them. So, my advice would be, instead of just mentioning the tool’s or framework’s name, add a small description about your knowledge & involvement with the tool. This would also help the interviewer to figure out that if you don’t have the experience with the exact same tool, you have that experience with another tool.
Technical Skills
After the Job Experience, I would recommend you to create a Technical skill section where you can make a list your technical skills. You can put all the skills that you think is required for the Big Data Engineer job role, or the skills with which you are confident.
Sample:
TECHNICAL SKILLS:
CDH, HDFS, SPARK, Hive, Impala, Sqoop, Map Reduce, Oozie, Putty, Netezza, YARN, Python, R, Talend, Informatica, Power BI, Hibernate, RHEL, UNIX, Windows, Agile Methodology, MongoDB, Cassandra, HBase, MySQL, Oracle DB, SOA, CI/CD.
Achievements & Hobbies
After this, the next section should be Achievements & Hobbies. Try not to mention too many achievements or hobbies, as it could distract your interviewer & he/she might miss the important ones. Mention few which is relevant & with which you are confident.
Get a further understanding of the Big Data skills from the Hadoop training in Bangalore.
I hope this Big Data Engineer Resume blog has helped you in figuring out how to build an attractive & effective resume. In our upcoming blog on Big Data Engineer salary, we will be discussing different factors that affect the salary of a Big Data Engineer.
If you are willing to upgrade your career & start your Big Data Engineer’s journey, check out the Data Architect Course.
