Data Engineer

Years of Experience

5-8 Years

Job Summary

We are seeking a skilled Data Engineer with extensive experience in AWS and Google Cloud to join our dynamic team. The ideal candidate will have a strong background in big data technologies and a proven track record of designing and implementing data pipelines that support analytics and business intelligence initiatives. This role requires a detail-oriented individual who can work collaboratively with cross-functional teams to deliver high-quality data solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services.
• Implement data storage solutions using Snowflake and BigQuery.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.
• Optimize data processing workflows for performance and cost efficiency.
• Monitor and troubleshoot data pipeline performance and reliability.
• Document data architecture and processes for future reference and compliance.

Mandatory Skills

• Proven experience with AWS services, including but not limited to S3, EC2, Lambda, and Amazon Redshift.
• Strong knowledge of big data technologies such as Spark and Kafka Stream.
• Experience with data warehousing solutions, specifically Snowflake and BigQuery.
• Proficiency in SQL, particularly Postgreql.
• Ability to work with large datasets and perform data transformations.

Preferred Skills

• Familiarity with data modeling and ETL processes.
• Experience with data governance and data quality frameworks.
• Knowledge of machine learning concepts and tools.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5-8 years of experience in data engineering or a related role.
• Certifications in AWS or Google Cloud are a plus.

Call to Action

Join our team and contribute to building innovative data solutions that drive business success!

AWS