Data Engineer

Design, build, and maintain scalable data pipelines for ingestion, transformation, and loading (ETL/ELT)

Develop and optimize data architectures to support analytics and business intelligence needs

Ensure data quality, integrity, and reliability across various data sources

Collaborate with cross-functional teams (e.g., Product, BI, Engineering) to understand data requirements

Monitor and troubleshoot data pipeline performance issues

Implement data governance and best practices for data management

Support the development of dashboards, reports, and data models

Document data processes, workflows, and system architecture

Requirements:

Bachelor’s degree in Computer Science, Information Systems, or a related field

Minimum 2 years of experience in data engineering, data analytics, or similar roles

Hands-on experience with SQL and at least one programming language (e.g., Python)

Familiarity with data pipeline tools (e.g., Airflow, dbt, or similar)

Basic understanding of data warehousing concepts (e.g., BigQuery, Redshift, Snowflake)

Experience working with structured and unstructured data

Understanding of ETL/ELT processes and data modeling fundamentals

Exposure to cloud platforms (e.g., AWS, GCP, or Azure) is a plus

Strong problem-solving skills and attention to detail

Good communication skills and ability to work collaboratively

How many years' experience do you have as a Data Engineer?