Senior Data Engineer-Manager-State Street Global Advisors

Work Hours: Monday – Friday, Any 9 hours between 10:00am to 9:00 pm IST (Should be flexible to work in any shifts and urgent situations outside these hours).

Job description:

This role will be part IT team at State Street Global Advisors (SSGA), working in our development team.

Key responsibilities:

Software Development:

Demonstrate full stack expertise and architectural understanding to create robust and user-friendly solutions.

Specialize in seamless integration of various technologies to ensure cohesive application development.

Ability to adapt to agile methodologies, quick self-learner.

Database management:

Demonstrate profound understanding of relational databases.

Build and manage well-functioning databases.

Implement design principles for efficient data storage and retrieval.

Testing and Troubleshooting:

Ensure software responsiveness and efficiency.

Debug and fix coding issues.

Ownership and Collaboration:

Collaborate with cross-functional teams to ideate and create scalable software solutions.

Develop oneself into a Subject Matter Expert (SME) on Technical & Domain areas.

A self-starter with excellent organizational, time and relationship management skills.

Able to lead projects with minimal guidance and should show complete ownership of deliverables.

Delivery and Documentation:

Familiar with CI/CD practice and tools.

Deliver high quality deliverables with proper testing requirements.

Able to review existing processes/procedures and suggest improvements.

Prepare technical and functional documents as appropriate.

Essential Qualifications:

• Bachelor’s degree is a requirement; Computer Science or Information Technology preferred.
• 8+ years of development experience in technology and/or data functions in financial services or consulting industry.
• Hands on experience with establishing data strategies and data transformation implementations with in a fast paced, dynamically growing sector in the industry.
• Hands on development in Python, PL/SQL, SQL, Shell Scripting, Tableau, Alteryx, AutoSys.
• Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
• Hands on experience in one of the ETL tools.
• Demonstrate architectural understanding and problem-solving abilities to design/build complex data-oriented solutions.
• Demonstrate experience in CI/CD tools such as Artifactory, Jenkins, Bitbucket etc.