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Open nowFirst seen 36 hours ago

XTN-DC44512 | BIG DATA ENGINEER

KMC Solutions Inc1,593 open roles

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Your applicationOpen nowXTN-DC44512 | BIG DATA ENGINEERKMC Solutions Inc

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on KMC Solutions Inc's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. KMC Solutions Inc postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 36 hours ago

KMC Solutions Inc median: 1 days open

The posting

The purpose of this job is to provide technical expertise for research, development and modification of extract, transform, load processes and jobs in support of a Big Data infrastructure of our client.

  • Health Insurance/HMO
  • Enjoy unlimited MadMax Coffee
  • Diverse learning & growth opportunities
  • Accessible Cloud HR platform (Sprout)
  • Above standard leaves
  • Research, develop, document, and modify Big Data Lake processes and jobs per data architecture and modeling requirements; collaborate with Data and Analytics data strategists and data scientists
  • Collaborate with business stakeholders to understand data needs including data velocity, veracity, and access patterns
  • Provide technical expertise to implement Data and Analytics specifications
  • Serve on cross-functional project teams and provide the data and big data perspective on executing key deliverables
  • Troubleshoot complex, escalated issues including connection, failed jobs, application errors, server alerts and space thresholds within predefined service level agreements (SLAs)
  • Proactively maintain and tune all code according to Big Data and EDW best practices to prevent issues
  • Review and ensure appropriate documentation for all new development and modifications of the Big Data Lake processes and jobs
  • Perform code and process reviews and oversee testing for solutions developed, and ensure integrity and security of institutional data
  • Educate business stakeholders on the usage and benefits of the EDW, Big Data Lake and related technologies
  • Mentor and guide less experienced team members and provide feedback on project work
  • Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level
  • Ensure all activities are in compliance with rules, regulations, policies, and procedures
  • Complete other duties as assigned
  • Bachelor’s degree in computer science, engineering, information technology, or relatedfield, required.
  • Minimum five years of technology operations experience required.
  • Strong SQL knowledge and skills required
  • Strong knowledge of Relational Databases like Oracle, Postgres or SQL Server required
  • String knowledge of relational modeling and features including triggers, stored procedures, and constraints required
  • Experience with Apache Spark or Spark-streaming, Message Queue technologies and Python required
  • Strong knowledge of enterprise data warehouse (EDW) data models with a focus on Star Schema data modeling techniques required
  • Strong knowledge of Amazon Web Services (AWS) or similar Cloud Big Data platform preferred
  • Excellent analytical skills and the ability to identify solutions to complex data problems
  • Ability to provide excellent customer service
  • Excellent written and verbal communication skills
  • Willingness to learn and embrace new technologies
  • Ability to mentor and motivate a diverse team; ensure team and individualaccountability and performance standards are met
  • Ability to prioritize, multitask and manage multiple projects successfully in a fast-pacedand dynamic environment
  • Strong organizational skills with attention to detail
  • Ability to communicate and interact effectively with different levels of the organizationto negotiate, problem solve, complete projects and influence decision making
  • Self-motivated with ability to work both independently and within teams in order toestablish and meet deadlines, goals, and objectives
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