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Title: Data Engineer
Location: Pittsburgh, PA
Type: 6 months (contract to hire)
RATE : open
5 years of developing software using object-oriented or functional language experience
5 years of SQL
3 years working with open source Big Data technology stacks (Apache Nifi, Spark, Kafka, HBase, Hadoop/HDFS, Hive, Drill, Pig, etc.) or commercial open source Big Data technology stacks (Hortonworks, Cloudera, etc.)
3 years with document databases (e.g. MongoDB, Accumulo, etc.)
3 years of experience using Agile development processes (e.g. developing and estimating user stories, sprint planning, sprint retrospectives, etc.)
2 years of distributed version control system (e.g. git)
3 years of experience in cloud-based development and delivery
Familiarity with distributed computing patterns, techniques, and technologies (e.g. ESB)
Familiarity with continuous delivery technologies (e.g. Puppet, Chef, Ansible, Docker, Vagrant, etc.)
Familiarity with build automation and continuous integration tools (e.g. Maven, Jenkins, Bamboo, etc.)
Familiarity with Agile process management tools (e.g. Atlassian Jira)
Familiarity with test automation (Selenium, SoapUI, etc.)
Good software development and Object Oriented programming skills.
Strong analytical skills and the ability to work with end users to transform requests into robust solutions.
Excellent oral and written communication skills.
Initiative and self-motivation to work independently on projects.
Note: If interested please send your updated resume and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.We look forward to hearing from you at the earliest!
Contractor
IT Outsourcing & Consulting
$82k-106k (estimate)
06/17/2024
11/15/2024
two95intl.com
CHERRY HILL, NJ
50 - 100
2009
Private
SHANKER KOLADI
$5M - $10M
IT Outsourcing & Consulting
Two95 provides business process management, mobility, cloud, analytics, eCommerce and social networking solutions.
The job skills required for Data Engineer include SQL, Big Data, Agile, Software Development, Initiative, Written Communication, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.