Data Engineer

Job Title: Data Engineer
Location: Hybrid (On-site/Remote)

About the Role:
We are seeking a skilled and motivated Data Engineer to join our team. This role offers a hybrid work environment, blending on-site collaboration with remote flexibility. As a Data Engineer, you will play a pivotal role in designing, building, and maintaining scalable data pipelines and warehousing solutions. Your expertise will empower our teams to unlock insights, streamline processes, and drive data-driven decision-making.

Key Responsibilities:

Design, develop, and maintain robust ETL pipelines to process and manage large datasets.
Build and optimize data warehousing solutions, ensuring data integrity, performance, and scalability.
Collaborate with cross-functional teams to understand data requirements and provide technical solutions.
Utilize SQL to perform data extraction, transformation, and manipulation.
Leverage AWS tools and services (e.g., S3, Redshift, Lambda, Glue, etc.) for data storage, processing, and integration.
Write clean, efficient, and well-documented code using Python to support data workflows and automation.
Support data quality initiatives by implementing monitoring and validation tools.
Collaborate with analysts to integrate analytics and reporting tools into data workflows.
Stay current on emerging trends and technologies in data engineering and cloud ecosystems.

Required Qualifications:

Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent experience.
3 years of experience in a Data Engineering or similar role.
Proficiency in SQL for data extraction, transformation, and analysis.
Strong experience with AWS services such as S3, Redshift, Lambda, and Glue.
Proficiency in Python for building and automating data workflows.
Hands-on experience with data warehousing concepts and tools.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.