AWS Data Engineer - Dallas, TX

QTech•Dallas, TX

1d•Onsite

About The Position

We are seeking an experienced AWS Data Engineer with a strong background in PL/SQL development, Python, and Capital Markets. The role involves working with Snowflake and AWS, developing data models, stored procedures, and triggers. You will leverage your Python skills for data manipulation and contribute to ETL processes, data warehousing, and data architecture. Experience in financial products, processes, and data flows within Capital Markets is essential. The position requires strong analytical and problem-solving abilities, excellent communication skills, and familiarity with Agile methodologies.

Requirements

10+ years of hands-on experience in PL/SQL development.
Strong proficiency in Python, including libraries such as Pandas, NumPy, or similar data manipulation libraries.
Proven experience in Capital Markets, with a solid understanding of financial products, processes, and data flows.
Strong analytical and problem-solving skills.
Oracle Database, SQL, ETL processes, data warehousing, or data architecture.
Knowledge of Agile methodologies and development practices.
Strong PL/SQL skills.
Snowflake Data Engineering experience.

Nice To Haves

Familiarity with data visualization tools and techniques (e.g., Tableau, Power BI).
Experience with Qlik and Sigma.
AWS Cloud Capabilities.

Responsibilities

Develop and maintain data models, stored procedures, and triggers using PL/SQL.
Utilize Python, including libraries like Pandas and NumPy, for data manipulation and analysis.
Work with Snowflake and AWS for data engineering tasks.
Engage in ETL processes, data warehousing, and data architecture.
Apply strong analytical and problem-solving skills to address data challenges.
Collaborate effectively across teams using excellent communication skills.
Adhere to Agile methodologies and development practices.

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