Technology Architect | Data On Cloud - Platform | AWS

Expedite Talent Solutions

  • Englewood, CO
  • 1 day ago

    Highlights

    Top 3 responsibilities you would expect the Subcon to shoulder and execute: Design, develop, and maintain scalable ETLELT pipelines for processing large volumes of structured and unstructured data. Any additional information you would like to share about the project specs/nature of work: Custom Fields: Name: Intake Call Completed.

    Numbers & Facts

    LocationEnglewood, CO

    Description

    Description: POC: Sam Chavez

    ATTENTION ALL SUPPLIERS!!!

    READ BEFORE SUBMITTING:
    UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
    We prioritize endorsing those with complete and accurate information
    Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
    Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
    Please submit profiles within the max proposed rate***
    Please make sure to TAG the profiles correctly if the candidate has WORKED FOR *** as a SUBCON or FTE.

    MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

    Job Title: 122559-1 - Technology Architect | Data On Cloud - Platform | AWS Data Engineer
    Work Location & Reporting Address: Greenwood Village, CO 80111 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
    Contract duration: 12
    MAX VENDOR RATE: *** per hour max
    Target Start Date: 14 Aug 2026
    Does this position require Visa independent candidates only? Yes

    Must Have Skills:
    ETL
    SQL
    AWS

    Nice to Have Skills:
    BigData
    Python
    Scala

    Detailed Job Description:
    Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python
    Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems
    Proficiency in building and managing ETL pipelines
    Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR
    Strong understanding of relational databases and SQL, and familiarity with NoSQL databases
    Knowledge of data architecture, data warehousing, and data marts
    Experience in implementing monitoring solutions and deployment pipelines for data applications
    Ability to work with distributed systems and manage data storage solutions
    Demonstrated ability and desire to continually expand skill set, and learn from and teach others

    Minimum Years of Experience:
    8+ years

    Certifications Needed:
    None

    Top 3 responsibilities you would expect the Subcon to shoulder and execute:
    Design, develop, and maintain scalable ETLELT pipelines for processing large volumes of structured and unstructured data.
    Create and optimize complex SQL queries, stored procedures, and data models.
    Collaborate with business stakeholders, analysts, architects, and application teams to understand data requirements.

    Interview Process (Is face to face required?)
    Virtual

    Any additional information you would like to share about the project specs/nature of work:

    Custom Fields:
    Name: Intake Call Completed
    Value: true

    Name: Intake Call Requested
    Value: true