SENIOR DATA ENGINEER - AWS

Data EngineerYears of Experience: 5-8 YearsJob 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.ResponsibilitiesDesign, 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 SkillsProven 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 SkillsFamiliarity 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.QualificationsBachelor'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.Join our team and contribute to building innovative data solutions that drive business success!#J-18808-Ljbffr