Home / Jobs / Job Details

AWS Data Engineer

Sunlife Global Solutions
Location: Gurgaon, Experience: 3 years - 8 years
Posted On: 21-Oct-2024 | Last Date to Apply: 31-Mar-2025 | No: of Vacancies : 2

Company Profile:

Sun Life is a leading financial services company with history of 150+ years that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. We’re working hard to support their wellness and health management goals, too. That way, they can enjoy what matters most to them. And that’s anything from running a marathon to helping their grandchildren learn to ride a bike. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: • Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance. • Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products • Advice. Financial planning and retirement planning services • Asset management. Pooled funds, institutional portfolios, and pension funds

Job description:

Key Qualifications and experience:

A degree in Computer Science, related technology degree, or equivalent experience.

Minimum 3 to 8 years of overall IT experience

2+ years of experience on AWS Glue/python/PySpark

Strong knowledge of AWS Glue/PySpark, relational databases (Oracle/PostgreSQL, SQL Server).

Good understanding of AWS data/automation services – Step functions, Lambda, SNS, SQS.

 

 Technical Credentials:

Development

Excellent problem-solving skills with the ability to analyze business problems systematically and deliver effective right-sized solutions in a timely manner.

Proven analysis and design/development skills on AWS platforms.

Develop, Test, and Implement the changes following the Software Development Life Cycle methodologies and quality concepts.

Technical Skills

Strong knowledge on AWS – Glue/python/PySpark.

Understanding of AWS data/automation services – Step functions, Lambda, SNS, SQS.

Hands-on experience in ETL projects.

Good knowledge of data warehousing concepts.

Good analytical and problem-solving skills.

Experience in GIT code versioning tools. 

Strong knowledge of relational database (Oracle/PostgreSQL).

Good understanding of Software Development Life Cycle.

Nice to have.

Working knowledge on job scheduling tools like Autosys etc.

Experience in working in an Agile environment.

Certification in AWS.

Experience in PowerShell/Batch scripts.

Key Qualifications

Bachelors

Education

Any Bachelors Degree

Skills

AWS,Pyspark,Python,

Industry

IT-Software- Software services

Gender Preference:

Any

Job Type:

Full Time

Diversity Tags:

Not Applicable