Data Engineer

TEKFORTUNE INC; Pennsylvania; On-site; USD 110,000 - 150,000; Full time

Job summary

TEKFORTUNE INC is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data integration solutions. The role requires strong Python, PySpark, and SQL skills and hands-on ETL/ELT experience.

You will work with cloud platforms such as AWS, Azure, or GCP, implement data processing and transformation solutions, and ensure data quality, accuracy, and performance while collaborating with business and technical teams to understand data requirements.

Qualifications

• Strong experience in Python, PySpark, and SQL.
• Hands-on experience with ETL/ELT and data warehousing.
• Experience with Databricks, Snowflake, or similar platforms.
• Knowledge of cloud data services (AWS/Azure/GCP).
• Experience with data modeling and pipeline optimization.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT workflows for data integration.
• Develop data solutions using Python, PySpark, and SQL.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Implement data processing and transformation solutions.
• Ensure data quality, accuracy, and performance.
• Collaborate with business and technical teams to understand data requirements.

Skills

Python

PySpark

SQL

Tools

Databricks

Snowflake

Cloud Platforms (AWS/Azure/GCP)

Job description

We are looking for an experienced Data Engineer responsible for designing, developing, and maintaining scalable data pipelines and data integration solutions. The ideal candidate should have strong experience in Python, SQL, ETL/ELT processes, and cloud-based data platforms.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines.


• Build and optimize ETL/ELT workflows for data integration.


• Develop data solutions using Python, PySpark, and SQL.


• Work with cloud platforms such as AWS, Azure, or GCP.


• Implement data processing and transformation solutions.


• Ensure data quality, accuracy, and performance.


• Collaborate with business and technical teams to understand data requirements.

Required Skills:

• Strong experience in Python, PySpark, and SQL.


• Hands-on experience with ETL/ELT and data warehousing.


• Experience with Databricks, Snowflake, or similar platforms.


• Knowledge of cloud data services (AWS/Azure/GCP).


• Experience with data modeling and pipeline optimization.