What are the responsibilities and job description for the Data Pipeline Engineer position at Mogi I/O : OTT/Podcast/Short Video Apps for you?
Location: Glendale, California, USA
Employment Type: Full-Time
Experience: 5 Years
About The Role
We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms that support business intelligence, analytics, and data-driven decision-making. You will design robust data pipelines, develop efficient data models, and collaborate with cross-functional teams to deliver reliable, high-performance data solutions.
Key Responsibilities
Employment Type: Full-Time
Experience: 5 Years
About The Role
We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms that support business intelligence, analytics, and data-driven decision-making. You will design robust data pipelines, develop efficient data models, and collaborate with cross-functional teams to deliver reliable, high-performance data solutions.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and data platforms.
- Develop conceptual, logical, and physical data models.
- Build and optimize ETL/ELT workflows using modern data engineering tools.
- Work with Snowflake, AWS, dbt, and Airflow to develop reliable data solutions.
- Optimize SQL queries and improve data processing performance.
- Collaborate with data engineers, analysts, data scientists, and product teams.
- Maintain data quality, governance, and documentation standards.
- Support Agile development practices and continuous platform improvements
- 5 years of experience in Data Engineering.
- Strong expertise in Python and SQL.
- Hands-on experience with Snowflake, Airflow, and dbt.
- Experience with AWS services such as S3, Lambda, SNS, and SQS.
- Strong understanding of data modeling, ETL/ELT, OLTP & OLAP concepts.
- Excellent analytical, problem-solving, and communication skills.
- Bachelor's degree in Computer Science, Information Systems, or related field.