We are seeking a motivated and skilled AWS Data Engineer with 1-3 years of experience to join our growing data team. In this role, you will be instrumental in designing, developing, and maintaining scalable and efficient data pipelines and solutions on the AWS cloud platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and accessibility for various analytical and reporting needs. Required Skills and Qualifications • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. • 1-3 years of hands-on experience in data engineering, with a strong focus on AWS cloud services. • Proficiency in Python for data manipulation, scripting, and automation. • Strong command of SQL for data querying, transformation, and database management. • Demonstrable experience with AWS data services, including: • Amazon S3: Data Lake storage and management. • AWS Glue: ETL service for data preparation. • Amazon Redshift: Cloud data warehousing. • AWS Lambda: Serverless computing for data processing. • Amazon EMR: Managed Hadoop framework for big data processing (Spark/PySpark experience highly preferred). • AWS Kinesis (or Kafka): Real-time data streaming. • Strong analytical, problem-solving, and debugging skills. • Excellent communication and collaboration abilities, with the capacity to work effectively in an agile team environment.Required Skills • Data Interpretation • Data Analysis

Skills

AWS
Python
SQL
Apache Spark
Kafka