Senior Data Engineer

Accountabilities:

• Develop, implement, and maintain data pipelines using technologies like Snowflake, DBT, and Fivetran.
• Automate and orchestrate workflows and data processes using Airflow.
• Develop scalable data infrastructure using AWS services (such as S3, RDS, and Lambda).
• Provide technical support and troubleshooting for data infrastructure challenges and incidents.
• Ensure high-quality data integration from diverse sources into Snowflake. Employ DBT to create reliable and efficient ETL processes.
• Utilize strong knowledge of data warehousing concepts to optimize data storage solutions.
• Implement efficient data storage and retrieval strategies to support business intelligence initiatives.
• Collaborate with analytics and business teams to address data requirements.
• Leverage reporting tools like PowerBI or OBIEE to provide insightful visualizations and reports.

Essential Skills/Experience:

• 3-5 years of relevant experience in data engineering with hands-on expertise in:
• - Snowflake
• - DBT
• - Airflow
• Strong proficiency in AWS services and infrastructure.
• Solid understanding of data warehousing concepts and data engineering practices.
• Experience with SQL and data modeling.

Desirable Skills/Experience:

• Knowledge of Agile
• Fivetran
• Experience as a support engineer to enhance troubleshooting and resolution capabilities.
• Familiarity with reporting tools like PowerBI or MicroStrategy.
• Strong problem-solving skills and teamwork capabilities.
• Excellent communication and interpersonal skills.