Data Engineer

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Regular or Temporary :

Regular

Language Fluency : English (Required)

Work Shift :

1st Shift (United States of America)

Please review the following job description :

Responsible for building optimizing and maintaining the data pipelines and aiding in building the data ecosystem for delivering enterprise data for wide consumption including developing data models corresponding data architecture documents and APIs.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed both major and minor which are not mentioned below. Specific activities may change from time to time.

1. Builds manages and implements the data and / or Big Data pipeline capabilities including data modeling process design and overall data pipeline architecture and all phases of the ETL (extract transform and load) processes.

2. Leads efforts related to partially to completely automate repeatable data preparation and integration tasks. Partner with technology teams to understand data capture testing needs and to build and test end-to-end solutions.

3. Partners with engineers data scientists and the data office leadership to define and refine data architecture and technology choices.

4. Takes a new perspective on existing solutions to solve problems of the highest complexity and exercise judgment based on the analysis (e.g. modeling testing etc.) of multiple sources of information and make recommendations.

5. Leads larger more complex data engineering projects and initiatives with significant risks and resource requirements.

QUALIFICATIONS

Required Qualifications :

The requirements listed below are representative of the knowledge skill and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelors degree and eight years of experience in systems engineering or administration or equivalent education and related training or experience

2. Specialized knowledge of SQL relational databases ETL / ELT architecture and concepts data integration concepts and big data concepts

experience in planning and managing IT projects

Preferred Qualifications : :

1. Masters degree and eight years of experience or an equivalent combination of education and work experience

or financial services experience

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

SittingConstantly (More than

50% of the time)Visual / Audio / SpeakingAble to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the Dexterity / Keyboarding Able to work standard office equipment including PC keyboard and mouse copy / fax machines and to work all hours scheduled including overtime as directed by manager / supervisor and required by business and up to

10%

General Description of Available Benefits for Eligible Employees of CRC Group : At CRC Group were committed to supporting every aspect of teammates well-being physical emotional financial social and professional. Our best-in-class benefits program is designed to care for the whole you offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical dental vision life disability and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs including company holidays vacation and sick days new parent leave and more. Eligible positions may also qualify for restricted stock unitsand / or a deferred compensation plan.

CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race gender color religion citizenship or national origin age sexual orientation gender identity disability veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.

EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1