Sr Software Engineer - Big Data (Hadoop) Details

Sr Software Engineer - Big Data (Hadoop)

PRA Health Sciences - Phoenix, AZ

Employment Type : Full-Time

Healthcare Intelligence Experts.Symphony Health, part of the PRA Health Sciences family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients - life science manufacturers, payers, and providers - have today, as well as those they’ll have tomorrow. Together, we can help patients get the right drugs at the right times. At Symphony Health, we also pride ourselves on being collaborative and customer centric, and we do this by focusing on five key values:

• Love the Customer by consistently exceeding expectations
• Focus on Brilliant Execution by being detailed and accountable
• Differentiate ourselves by providing innovative solutions
• Build a High-Performance Culture which does not accept mediocrity
• Make it Fun by connecting as one passionate high-energy team.

ResponsibilitiesJob Summary:

The Sr. Software Engineer performs the analysis, design, programming, and modifications for software products and/or customer applications. Writes code and complete programming, testing and debugging of applications. May use a wide range of disciplines such as distributed networking and databases, communications, and multiprocessing applications. Requires firm background in software engineering including analysis, design, implementation, and verification. At more advanced levels, establishes techniques for the design and modification of software. The position requires working experience with multiple data processing environments such as Hadoop, RDBMS, and Cloud computing. May provide work leadership to a team.

Qualifications:

Required Experience/Knowledge:

• Designing and implementing large-scale ingest systems in a Big Data environment.
• 5+ years of proven experience in Hadoop and involved in developing scripts, solutions using the tools / Technologies in the Hadoop ecosystem.
• Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution capabilities.
• Sound understanding and experience with Hadoop ecosystem (Cloudera). Knowledge on CDP would be a plus.
• Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
• 5+ years of experience in processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs).
• 3+ years of programming experience in Python, Spark for data processing and analysis.
• Familiarity with AWS and other cloud platforms
• Oracle PL/SQL, UNIX/Linux Shell Script programming experience is plus.
• Complex SQL query tuning experience.
• Demonstrate a detailed understanding of Data Warehousing principals, theories, concepts, and accepted practices.
• Demonstrate ability to independently determine and develop approaches to solutions following established procedures.
• Proven track record of technical and professional development.
• Ability to prioritize and adapt to a fast-paced environment.

Preferred Experience/Knowledge:

• 
  Excellent communication skills – able to effectively communicate project development issues to technical and non-technical team members.
• Proven track record leading technical teams with responsibility and accountability for a project development effort.

Qualifications

Education:

• Bachelor’s degree in Computer Science, Mathematics or related technical discipline.
• Equivalent work experience and/or technical training will be considered in lieu of the degree.

PRA is an EEO/AA employer and is committed to providing opportunities to minorities, women, veterans and individuals with disabilities.
OptionsApply for this job onlineApply Share Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Connect With Us!