Job Title: AWS Cloud Data Engineer
Location: Bangalore
Job Description:
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 strong 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.
Good 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.
- Strong communication and collaboration skills.
Preferred Certifications:
- Snowpro Certification
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related field
- Proven experience in SQL and data engineering
- Hands-on experience with Snowflake (at least one or two 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
- Strong communication and collaboration skills
- Snowpro certification
- Experience with Snaplogic for ETL processes
- Experience with Control M for orchestration and job scheduling
- Relevant AWS certification
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