Data Engineer

Valiant Technologies LLC; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python programming

SQL

ETL/ELT

Data modeling

Data integration

Analytical thinking

Problem-solving

Cloud platforms (AWS/Azure)

Tools

PySpark

Apache Spark

AWS

Azure

Data pipelines tooling

Job description

We are looking for a Data Engineer to design, develop, and maintain reliable data pipelines and data processing solutions. The ideal candidate should have strong programming skills in Python and SQL, along with knowledge of data warehousing, ETL processes, and cloud-based data platforms.

Key Responsibilities:

• 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.
• Proficiency in SQL and database management.
• Understanding of ETL and ELT processes.
• Knowledge of data warehousing concepts.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.
• Knowledge of data modeling and data integration.
• Strong analytical and problem-solving skills.

Required Skills & Qualifications:

Technical Environment:

Python, SQL, PySpark, Apache Spark, ETL, Data Warehousing, AWS, Azure, and Data Pipelines.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.