Data Engineer

Raas Infotek; Atlanta (GA); On-site; USD 83,000 - 124,000; Full time

Job summary

Raas Infotek LTD in Atlanta, GA seeks an experienced Data Engineer to design, build and optimize large-scale data pipelines. You will work with Python, SQL and PySpark to transform data, support data warehousing and analytics, and collaborate with data scientists and engineers across cloud environments.

The role requires 10+ years of experience, a strong background in ETL/ELT, and expertise with Snowflake, Databricks, Spark, Kafka and Airflow.

Qualifications

• 10+ years of experience in data engineering and ETL development.
• Hands-on with Python, SQL, and PySpark.
• Proven ability to design data pipelines and data integration.
• Strong knowledge of Snowflake, Databricks or Hadoop.
• Experience with cloud platforms (AWS, Azure or GCP).
• Knowledge of Spark, Kafka, and Airflow.
• Experience with data warehousing and database management.
• Knowledge of data modeling and data optimization.
• Experience with Git, CI/CD and Agile methodologies.

Responsibilities

• Design, develop, and maintain data pipelines.
• Build and manage ETL/ELT processes.
• Collect, process, and transform large datasets.
• Optimize data workflows and database performance.
• Ensure data quality, security, and reliability.
• Collaborate with data scientists, analysts, and developers.
• Monitor and troubleshoot data pipeline issues.

Skills

Data engineering & ETL

Python, SQL, PySpark

Data pipelines & integration

Snowflake / Databricks / Hadoop

AWS / Azure / GCP

Apache Spark / Kafka / Airflow

Data warehousing & DB management

Data modeling & optimization

Git, CI/CD & Agile

Education

Bachelor's degree in Computer Science, IT, Data Science, or related

Master's degree preferred

Google Professional Data Engineer

AWS Certified Data Engineer – Associate

Microsoft Certified: Azure Data Engineer Associate

Databricks Certified Data Engineer Professional

Snowflake SnowPro Advanced: Data Engineer

Tools

Snowflake

Databricks

Hadoop

Apache Spark

Kafka

Airflow

Git

CI/CD

Job description

• Strong experience in Data Engineering and ETL development.
• Hands-on experience with Python, SQL, and PySpark.
• Experience with data pipelines and data integration.
• Strong knowledge of Snowflake, Databricks, or Hadoop.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of Apache Spark, Kafka, and Airflow.
• Experience with data warehousing and database management.
• Knowledge of data modeling and data optimization.
• Experience with Git, CI/CD, and Agile methodologies.

Data Engineer – Job Description

Experience: 10+ Years

Job Type: Contract

Location: Atlanta, GA

Required Skills

• Strong experience in Data Engineering and ETL development.
• Hands-on experience with Python, SQL, and PySpark.
• Experience with data pipelines and data integration.
• Strong knowledge of Snowflake, Databricks, or Hadoop.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of Apache Spark, Kafka, and Airflow.
• Experience with data warehousing and database management.
• Knowledge of data modeling and data optimization.
• Experience with Git, CI/CD, and Agile methodologies.

Responsibilities

• Design, develop, and maintain data pipelines.
• Build and manage ETL/ELT processes.
• Collect, process, and transform large datasets.
• Optimize data workflows and database performance.
• Ensure data quality, security, and reliability.
• Work with data scientists, analysts, and development teams.
• Monitor and troubleshoot data pipeline issues.

Education

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Master's degree is preferred.

Certifications

• Google Professional Data Engineer.
• AWS Certified Data Engineer – Associate.
• Microsoft Certified: Azure Data Engineer Associate.
• Databricks Certified Data Engineer Professional.
• Snowflake SnowPro Advanced: Data Engineer.