About the role

AWS Data Engineer

Job Summary:

As an AWS Data Engineer, you will play a crucial role in our data-driven initiatives by leveraging cloud technologies to optimize data processing and storage solutions. Your expertise in AWS, Snowflake, and PySpark will help the organization harness data effectively, driving informed decision-making and innovative business outcomes.

Key Responsibilities:

Design and implement scalable data pipelines using AWS technologies to support complex data processing tasks.
Collaborate with cross-functional teams to gather requirements and transform business needs into technical solutions.
Optimize data storage solutions in Snowflake, ensuring high availability, security, and performance.
Develop and maintain ETL processes using PySpark for real-time and batch data workflows.
Monitor and troubleshoot data pipeline performance, ensuring reliability and efficiency of data flows.
Work closely with data analysts and data scientists to provide necessary data sets for analytics and reporting.
Stay updated on emerging technologies in cloud and data engineering to continually enhance solutions and practices.

Requirements:

Bachelor’s degree in Computer Science, Information Technology, or a related field.
A minimum of 5 years of experience in data engineering with a focus on AWS services.
Strong hands-on experience with Snowflake for data warehousing solutions.
Proficiency in PySpark for data transformations and processing.
Solid understanding of data modeling, ETL processes, and data architecture principles.
Experience with SQL and performance tuning for large datasets.
Excellent problem-solving skills and attention to detail with a proactive approach to troubleshooting.

Preferred Qualifications:

Experience with AWS tools such as Lambda, Glue, and S3 for comprehensive data solutions.
Familiarity with data visualization tools such as Tableau or Power BI.
Experience in working with Agile development methodologies.
Strong communication skills to explain technical concepts to non-technical stakeholders.
Ability to mentor junior team members and contribute to a collaborative team environment.

Benefits:

Hybrid work model with flexible remote options (3 days a week on-site).
Competitive salary with performance-based bonuses.
Comprehensive health insurance coverage for employees and dependents.
Opportunities for continuous learning and professional development.
Wellness programs and employee assistance initiatives.
Collaborative and inclusive work culture that values innovation and creativity.
Paid time off and holiday leave for work-life balance.

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