Description

Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL/ELT processes

Work with large datasets to ensure efficient data processing and transformation

Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders

Optimize data workflows for performance, scalability, and reliability

Ensure data quality, integrity, and security across systems

Support data integration from multiple sources and platforms

Required Skills & Qualifications:

2–3 years of experience in Data Engineering or related field

Strong proficiency in SQL and at least one programming language (Python preferred)

Experience with data processing and pipeline development

Familiarity with cloud platforms (GCP preferred)

Understanding of data warehousing and data modeling concepts

Strong problem-solving and analytical skills

Preferred Qualifications:

Experience working with Google Cloud Platform (BigQuery, Dataflow, etc.)

Exposure to modern data tools and frameworks

Key Skills

Education

Bachelor's degree