Data Engineer - Cloud Pipelines, ETL & Data Warehousing

Valiant Technologies LLC

Atlanta (GA)

In loco

USD 110.000 - 160.000

Tempo pieno

3 ore fa

Candidati tra i primi

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Descrizione del lavoro

Valiant Technologies LLC in Atlanta, GA is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and processing solutions.

You will apply Python and SQL to build scalable ETL/ELT processes, support data warehousing, and collaborate with data analysts to deliver trusted data for business decisions.

Experience with PySpark/Spark and cloud platforms (AWS or Azure) is highly valued, as is data modeling and data quality practices.

Competenze

Experience designing and building data pipelines using Python.
Strong SQL skills and experience with data warehousing concepts.
Hands-on ETL/ELT implementation experience.
Familiarity with cloud platforms (AWS or Azure) and data modeling.

Mansioni

Develop and maintain scalable data pipelines using Python.
Design and implement ETL processes for data integration.
Write and optimize complex SQL queries.
Perform data extraction, transformation, and loading.
Develop data validation and quality-checking processes.
Work with structured and unstructured datasets.
Support data warehouse development and maintenance.
Collaborate with data analysts and business teams.
Strong programming knowledge in Python.

Conoscenze

Python programming

SQL

ETL/ELT

Data modeling

Data integration

Analytical thinking

Problem-solving

Cloud platforms (AWS/Azure)

Strumenti

PySpark

Apache Spark

AWS

Azure

Data pipelines tooling

Descrizione del lavoro

Valiant Technologies LLC in Atlanta, GA is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and processing solutions.

You will apply Python and SQL to build scalable ETL/ELT processes, support data warehousing, and collaborate with data analysts to deliver trusted data for business decisions.

Experience with PySpark/Spark and cloud platforms (AWS or Azure) is highly valued, as is data modeling and data quality practices.

Ottieni la revisione del curriculum gratis e riservata.

o trascina qui il file.