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AWS Glue Data Engineer

In California / United States

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AWS Glue Data Engineer   

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JOB TITLE:
AWS Glue Data Engineer
JOB TYPE:

JOB SKILLS:
JOB LOCATION:
Santa Clara California / United States

JOB DESCRIPTION :

Job title: AWS Glue Data Engineer

Location: Remote

Duration: Long term

W2 Candidates

This position is not open for C2C

Our client currently has a career opportunity for a AWS Glue Data Engineer in their market leading Data Solutions team.

Job Overview:

As a AWS Data Engineer you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for our clients. As a member working in a team environment you will work with solution architects and developers on interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design.

Responsibilities:

  • Create data pipelines for a state of the art analytics application in the financial industry
  • Code data processing jobs in AWS Glue, Python, and Spark.
  • Work with stakeholders to identify and document requirements.
  • Configure and schedule data pipelines
  • Translate business requirements to technical specifications and coded data pipelines.
  • Troubleshoot data pipelines

Qualifications:

  • Passionate coders with 3-5 years of application development experience.
  • Proficiency with Glue, Spark with Python is a must. Must have worked on projects that have resulted in code being deployed to production
  • Experience with AWS Glue strongly desired. However, will consider strong Python and AWS Lambda candidates.
  • Expert knowledge of developing in AWS environments
  • Knowledge of data formats and ETL and ELT processes in a Hadoop environment including Hive, Parquet, MapReduce, YARN, HBase and other NoSQL databases.
  • Experience in dealing with structured, semi-structured and unstructured data in batch and real-time environments.
  • Experience with working in AWS environments including EC2, S3, Lambda, RDS, etc. Familiarity with DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira and Confluence.
  • Client facing or consulting experience highly preferred.
  • Skilled problem solvers with the desire and proven ability to create innovative solutions.
  • Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments.
  • Future technology leaders- dynamic individuals energized by fast paced personal and professional growth.
  • Phenomenal communicators who can explain and present concepts to technical and non-technical audiences alike, including high level decision makers.
  • Bachelor's Degree in MIS, Computer Science, Math, Engineering or comparable major.
  • Solid foundation in Computer Science, with strong competencies in data structures, algorithms and software design.
  • Knowledge and experience in developing software using agile methodologies.
  • Proficient in authoring, editing and presenting technical documents.
  • Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.

Position Details

Apr 15, 2021
S1617465812339552
California / United States
Santa Clara
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

AWS Glue Data Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Job title: AWS Glue Data Engineer

Location: Remote

Duration: Long term

W2 Candidates

This position is not open for C2C

Our client currently has a career opportunity for a AWS Glue Data Engineer in their market leading Data Solutions team.

Job Overview:

As a AWS Data Engineer you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for our clients. As a member working in a team environment you will work with solution architects and developers on interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design.

Responsibilities:

  • Create data pipelines for a state of the art analytics application in the financial industry
  • Code data processing jobs in AWS Glue, Python, and Spark.
  • Work with stakeholders to identify and document requirements.
  • Configure and schedule data pipelines
  • Translate business requirements to technical specifications and coded data pipelines.
  • Troubleshoot data pipelines

Qualifications:

  • Passionate coders with 3-5 years of application development experience.
  • Proficiency with Glue, Spark with Python is a must. Must have worked on projects that have resulted in code being deployed to production
  • Experience with AWS Glue strongly desired. However, will consider strong Python and AWS Lambda candidates.
  • Expert knowledge of developing in AWS environments
  • Knowledge of data formats and ETL and ELT processes in a Hadoop environment including Hive, Parquet, MapReduce, YARN, HBase and other NoSQL databases.
  • Experience in dealing with structured, semi-structured and unstructured data in batch and real-time environments.
  • Experience with working in AWS environments including EC2, S3, Lambda, RDS, etc. Familiarity with DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira and Confluence.
  • Client facing or consulting experience highly preferred.
  • Skilled problem solvers with the desire and proven ability to create innovative solutions.
  • Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments.
  • Future technology leaders- dynamic individuals energized by fast paced personal and professional growth.
  • Phenomenal communicators who can explain and present concepts to technical and non-technical audiences alike, including high level decision makers.
  • Bachelor's Degree in MIS, Computer Science, Math, Engineering or comparable major.
  • Solid foundation in Computer Science, with strong competencies in data structures, algorithms and software design.
  • Knowledge and experience in developing software using agile methodologies.
  • Proficient in authoring, editing and presenting technical documents.
  • Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.