About the role

Data Engineer (AWS)

Job Summary:

The Data Engineer (AWS) plays a critical role in transforming raw data into valuable insights. This position is vital for developing and maintaining robust data pipelines that support effective decision-making across the organization.

Key Responsibilities:

Design and implement scalable data pipelines using AWS services such as Glue, Lambda, and Step Functions.
Develop and optimize SQL queries for data processing and extraction to meet analytical needs.
Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
Maintain and enhance data storage solutions in AWS environments, particularly with Redshift and S3.
Deploy and manage data workflows in a hybrid environment, ensuring high availability and performance.
Monitor and troubleshoot data pipeline performance issues, implementing solutions for continuous improvement.
Document processes and create data flow diagrams to ensure clarity in data management practices.

Requirements:

4-6 years of experience in data engineering or a related field.
Proficient in SQL for data manipulation and querying.
Strong programming skills in Python or PySpark for data processing tasks.
Hands-on experience with AWS services: S3, Glue, Lambda, Redshift, Step Functions, and Athena.
Familiarity with ETL processes and data modeling concepts.
Excellent analytical and problem-solving skills with a strong attention to detail.
Ability to work effectively in a hybrid environment, adapting to changing priorities.

Preferred Qualifications:

Experience with data visualization tools such as Tableau or Power BI.
Knowledge of data governance and security best practices.
Familiarity with machine learning concepts and frameworks.
Experience with version control systems, particularly Git.

Benefits:

Competitive salary and performance bonuses.
Comprehensive health, dental, and vision insurance plans.
Flexible work schedules with hybrid work options.
Opportunities for professional development and continuous learning.
Employee wellness programs and resources.
Retirement savings plans with company match.
Fostering an inclusive and diverse workplace culture.

AWS Data Engineer