DBiz.ai - Senior Data Engineer - ETL / Data Warehousing

Job Description Senior Data Engineer (8+ Yrs) with deep expertise in AWS cloud Data services, particularly AWS Glue, to design, build, and optimize scalable data solutions.

The ideal candidate will drive end-to-end data engineering initiatives from ingestion to consumption with a strong focus on data warehousing, performance optimization, self-service enablement, and data security.

The candidate needs to have experience in doing consulting and troubleshooting exercise to design best-fit Responsibilities :

• Consult with business and technology stakeholders to understand data requirements, troubleshoot and advise on best-fit AWS data solutions.
• Design and implement scalable ETL pipelines using AWS Glue, handling structured and semi-structured data.
• Architect and manage modern cloud data warehouses (e.g., Amazon Redshift, Snowflake, or equivalent).
• Optimize data pipelines and queries for performance, cost-efficiency, and scalability.
• Develop solutions that enable self-service analytics for business and data science teams.
• Implement data security, governance, and access controls.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
• Monitor, troubleshoot, and improve existing data solutions, ensuring high availability and Skills & Experience :
• 8+ years of experience in data engineering in AWS platform.
• Strong hands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, IAM.
• Proven expertise in data modelling, data warehousing concepts, and SQL optimization.
• Experience designing self-service data platforms for business users.
• Solid understanding of data security, encryption, and access management.
• Proficiency in Python.
• Familiarity with DevOps practices & CI / CD.
• Strong problem-solving.
• Exposure to BI tools (e.g., QuickSight, Power BI, Tableau) for self-service Qualifications :
• AWS Certified Data Analytics Specialty or Solutions Architect Associate.

ref : hirist.tech)