Data Engineer

Cloud Analytics Technologies, LLC; Atlanta (GA); In loco; USD 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking a Data Engineer in Atlanta to design, build, and maintain reliable data pipelines and analytics platforms. The role focuses on Python and SQL, ETL/ELT, and cloud-based data solutions. You will work closely with data analysts and business teams.

Requirements include knowledge of PySpark or Apache Spark, experience with AWS or Azure, and strong data modeling skills. This position offers an opportunity to shape scalable data infrastructure.

Competenze

• Strong programming skills in Python and SQL, with knowledge of data warehousing, ETL, and cloud-based data platforms.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.
• Knowledge of data modeling and data integration.

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.
• 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.

Conoscenze

Python

SQL

PySpark

Apache Spark

ETL

Data warehousing

AWS

Azure

Data pipelines

Data modeling

Data integration

Strumenti

PySpark

Apache Spark

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.

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