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Senior Data Engineer
$89k-118k (estimate)
Full Time | Business Services 6 Days Ago
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LifeScale Analytics is Hiring a Senior Data Engineer Near Raleigh, NC

Who we are:Lifescale Analytics, a woman-owned small business (WBENC and WOSB certifications) provides specialized expertise in data and analytics. Formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence and Data Science that focuses on building strong portfolios and programs. Through experience and innovation, we allow businesses, pharmaceutical companies, financial institutions, and government agencies to manage and proactively make decisions based on their biggest asset, their data. Our specialists are skilled at managing, refining, analyzing, or visualizing information for the specific purpose of increasing the value of IT to benefit from the data science industry.
Employment Qualifications:Applicants responding to this position must be a US Citizen and may be subjected to a government security investigation which requires possessing the ability to view classified government information, background checks and drug screening. All applicants applying must have lived in the US for the past 5 years and cannot have traveled out of the country more than 6 months (cumulatively) in the past five years. (Military Service excluded).
The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.
Job Title
Senior Data Engineer
Location
Raleigh, NC 27609 US (Primary)
Job Type
Full-Time
Career Level
Mid-Senior Level
Education
Bachelor's Degree
Travel
None
Security Clearance Required
Ability to obtain and maintain a U.S. Security Clearance
Job Description

At Lifescale Analytics, we help achieve data-driven decisions by leveraging strategic technologies to create innovative solutions that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for a Performance Data Engineer, located in Raleigh, NC. Candidate must be able to be onsite and must be able to pass a government security clearance. Candidates will work full-time onsite for the first 2 months and then move to hybrid onsite for 2 days and remote 3 days.

Applicants responding to this position must be a US Citizen and will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information. The candidate must have lived in the United States for the past 5 years.

The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.

Description:

  • Under general supervision, responsible for product support and maintenance of the data warehouse.
  • Performs data warehouse design and construction.
  • Codes and documents scripts and stored procedures.
  • Designs and implements data strategy methods.
  • Develops appropriate programs and systems documentation.
  • Assists with metadata repository management.
  • Prepares and implements data verification and testing methods for the data warehouse.
  • Creates index and view scripts.
  • Performs all functional duties independently.
  • Works on high-visibility programs, or mission critical aspects of assigned program(s).
  • Oversees the efforts of direct reporting resources and/or is responsible for the efforts of all staff assigned to a specific job.
Job Requirements

Responsibilities/Skill Requirement:

  • A minimum of ten (10) years’ experience in software development or related field, with at least 5 years in a data warehouse environment and/or related field
  • Able to perform all functional duties independently on high-visibility programs, or mission critical aspects of a given program
  • Able to oversee the efforts of direct reporting resources and/or be responsible for the efforts of all staff assigned to a specific job
  • Experience training/mentoring less experienced personnel
  • Extensive experience with data warehouse design, construction, and/or maintenance, to include design and implementation of data strategy methods, coding and documentation of scripts and stored procedures, and creation of index and view scripts
  • Extensive experience with development of data warehouse program and system documentation
  • Able to assist with metadata repository management
  • Extensive experience preparing and implementing data verification and testing methods for data warehouses
  • Able to obtain a government clearance
  • Excellent communication skills
  • Specific ability with the following languages, tools and utilities is required:
          • Ab Initio ETL Coding in GDE
          • Ab Initio Metadata Hub Lineage
          • Ab Initio TRMC
          • ANSI SQL and Teradata SQL extensions
          • Teradata SQL Assistant (a.k.a. QueryMan) for EDS Support
  • Teradata Utilities for EDS Support:
          • BTEQ
          • FastLoad
          • MultiLoad
          • FastExport
          • TPump
  • Azure/Databricks Support:
          • Cloud operations
          • Cloud Governance
          • Data Engineering
          • Platform Engineering
          • Data Integration
          • Data Observability
          • AI/ML
  • In addition, the following UNIX skills are required:
          • UNIX commands and concepts in order to navigate source code directories, find error logs, perform impact analysis assessments, edit code, version files
          • Linux Shell scripting in order to read and create driver scripts
  • In addition, the following Ab Initio skills are required:
    • A working knowledge of how Ab Initio conducts data extract, transformations, and loading – especially to and from Teradata
    • Development of graphs, plans, PSETs and how to develop tests and debug
    • PDL scripting

Education:

  • A degree from an accredited College/University in Software Engineering, Computer Science, or related discipline is preferred.

Additional Provisions:

  • Pass both a client mandated clearance process which includes drug screening, criminal history check and credit check.
  • Candidate must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months’ travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
  • The enforced dress code is business casual, i.e., collared shirt with slacks for men, no skirts above the knee for women.
We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$89k-118k (estimate)

POST DATE

05/18/2024

EXPIRATION DATE

07/15/2024

WEBSITE

lifescaleanalytics.com

HEADQUARTERS

Saint Paul, MN

SIZE

25 - 50

INDUSTRY

Business Services

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If you are interested in becoming a Senior 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 Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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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 Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

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Earn a bachelor’s degree related to data engineering and begin working on projects.

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Consider pursuing additional professional engineering or big data certifications.

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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

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Step 3: View the best colleges and universities for Senior Data Engineer.

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