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Aws Data Engineer Dallas Tx

  • ... Posted on: Dec 12, 2025
  • ... QTech
  • ... Dallas, Texas
  • ... Salary: Not Available
  • ... Full-time

Aws Data Engineer Dallas Tx   

Job Title :

Aws Data Engineer Dallas Tx

Job Type :

Full-time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

Job Title: AWS Data Engineer
Location: Dallas, TX
Domain: Technology
Duration: Long Term Contract
Looking for W2 Candidates. No C2C


Mandatory Skill Sets:
Snowflake, AWS, PL/SQL, or SQL
Python Cloud Capabilities
Oracle
Qlik
Sigma
Capital market Experience.
Snowflake Data Engineering
Strong PL/SQL
Python
Job description:
10+years of hands-on experience in PL/SQL development, including data modelling, stored procedures, and triggers.
Strong proficiency in python, including libraries such as pandas, NumPy, or similar data manipulation libraries.
Proven experience in Capital Markets, with solid understanding of financial products, processes, and data flows.
Strong analytical and problem solving-skills.
Familiarity with data visualization tools and techniques is a plus (e.g., Tableau, Power BI).
Excellent communication skills, both verbal and written, with the ability to collaborate effectively across teams.
Oracle database, SQL, ETL processes, data warehousing, or data architecture.
Knowledge of Agile methodologies and development practices.

Jobcon Logo Position Details

Posted:

Dec 12, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-a8cb7f53257fe1863342746bea150ad7f6cd527c2e416dcbd51f03d7e474a0df

City:

Dallas

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: AWS Data Engineer
Location: Dallas, TX
Domain: Technology
Duration: Long Term Contract
Looking for W2 Candidates. No C2C


Mandatory Skill Sets:
Snowflake, AWS, PL/SQL, or SQL
Python Cloud Capabilities
Oracle
Qlik
Sigma
Capital market Experience.
Snowflake Data Engineering
Strong PL/SQL
Python
Job description:
10+years of hands-on experience in PL/SQL development, including data modelling, stored procedures, and triggers.
Strong proficiency in python, including libraries such as pandas, NumPy, or similar data manipulation libraries.
Proven experience in Capital Markets, with solid understanding of financial products, processes, and data flows.
Strong analytical and problem solving-skills.
Familiarity with data visualization tools and techniques is a plus (e.g., Tableau, Power BI).
Excellent communication skills, both verbal and written, with the ability to collaborate effectively across teams.
Oracle database, SQL, ETL processes, data warehousing, or data architecture.
Knowledge of Agile methodologies and development practices.

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