Fidelity Investments is undertaking an exciting transition from on-premises Oracle Analytical platform to a cloud-based Snowflake Analytical platform. As an AWS Cloud Data Engineer at Fidelity, you will play a pivotal role in migrating and managing our analytical platform on the cloud. The ideal candidate will have a robust foundation in SQL, experience with Snowflake, and proficiency in Python scripting. Additionally, hands-on experience with various AWS services is essential. Your work will directly contribute to the efficiency, scalability, and reliability of our data solutions.
Key Responsibilities:
SQL Expertise (50%): Write, optimize, and maintain complex SQL queries. Ensure data integrity and performance through best practices.
Snowflake Experience (30%): Work on Snowflake-based projects. Migrate data from on-premises Oracle to Snowflake. Snowpro certification is a plus.
Python Scripting (10%): Develop and maintain data pipelines using Python. Automate data processing tasks and integrate with other systems.
AWS Services (10%): Utilize AWS services such as Lambda, SNS, SQS, and S3. Implement best practices for cloud infrastructure and data management.
Valuable to Have:
Snaplogic: Experience with Snaplogic for ETL processes.
Control M: Experience with Control M for orchestration and job scheduling.
AWS Certification: Relevant AWS certifications will be an added advantage.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
Proven experience in SQL and data engineering.
Hands-on experience with Snowflake, including at least one or two Snowflake projects.
Proficiency in Python scripting for data pipeline creation.
Practical experience with AWS services such as Lambda, SNS, SQS, and S3.
Excellent problem-solving skills and attention to detail.
Solid communication and collaboration skills.