AWS Data Engineer

Core Responsibilities:

• Lead and manage cross-functional data engineering teams to ensure successful delivery of data projects.
• Architect, design, and implement scalable, efficient data pipelines and ETL workflows.
• Develop reusable, high-performance code for data transformation using Python and SQL.
• Maintain and enhance AWS-based cloud infrastructure, particularly Amazon Redshift, with exposure to Snowflake.
• Collaborate with business stakeholders to gather data requirements and deliver impactful solutions.
• Improve architecture of data warehouses and support production systems for performance and scalability.
• Uphold best practices in data engineering, including code standards, testing, and documentation.
• Ensure compliance with data governance, quality, and security standards.
• Provide mentorship to junior engineers and contribute to strategic technical direction.
• Troubleshoot data issues and manage operational support when needed.

Required Qualifications:

• Bachelor's/Master's in Computer Science, IT, or related field.
• 8+ years of experience in data engineering or related technical roles.
• Expertise in Python, SQL, Amazon Redshift, and AWS services (S3, Glue, Lambda).
• Hands-on experience with Snowflake or equivalent cloud data platforms.
• Proven track record of leading technical teams and delivering end-to-end data solutions.
• Strong problem-solving and analytical thinking.
• Experience with big data tools like Spark or Hadoop is a plus.
• Excellent communication and collaboration skills.