AWS Data Engineer

Description

Job Summary: Design and implement data architectures on AWS, develop and maintain ETL/ELT pipelines, and ensure data quality, security, and governance. Key Highlights: 1. Solid experience (4+ years) in AWS data engineering. 2. Proficiency in AWS services (S3, Glue, Athena, Redshift, EMR, Lambda). 3. Strong knowledge of Python, Spark, and SQL. Responsibilities: Design and implement data architectures on AWS (Data Lake / Data Mesh). Develop and maintain ETL/ELT pipelines using services such as Glue, Lambda, Step Functions, S3, Athena, and Redshift. Ensure data quality, security, and governance. Optimize queries and processes for large-scale data volumes. Collaborate with business teams to deliver data efficiently. Handle multiple concurrent priorities in a constantly changing environment. Recommend AWS services that add value to HDI Group's data environment. Requirements: **Technical Requirements** Solid experience (4\+ years) in data engineering. Knowledge of lakehouse / data mesh architectures. Proficiency in AWS services (S3, Glue, Athena, Redshift, EMR, Lambda). Strong knowledge of Python, Spark, and SQL. Experience with orchestration tools (Step Functions and/or Airflow). Knowledge of data modeling, Data Lake, and Data Warehouse. **Preferred Qualifications** Data Zone Migration of legacy systems to AWS Practical experience consuming and processing JSON-formatted files Data mesh Insurance domain knowledge **Soft Skills** Proactivity and ability to work autonomously. Clear communication and collaboration with cross-functional teams. Ability to explain technical concepts simply. Focus on problem-solving and continuous improvement. Sense of urgency