AWS Data Engineer

Role & Responsibilities

• Excellent problem-solving skills with the ability to analyze business problems systematically and deliver effective right-sized solutions in a timely manner.
• Proven analysis and design/development skills on AWS platforms.
• Develop, Test, and Implement the changes following the Software Development Life Cycle methodologies and quality concepts.

• Technical Skills

• Strong knowledge on AWS Glue/Python/PySpark.
• Understanding of AWS data/automation services Step functions, Lambda, SNS, SQS.
• Hands-on experience in ETL projects.
• Good knowledge of data warehousing concepts.
• Good analytical and problem-solving skills.
• Experience in GIT code versioning tools.
• Strong knowledge of relational database (Oracle/PostgreSQL).
• Good understanding of Software Development Life Cycle.

• Nice to have

• Working knowledge on job scheduling tools like Autosys etc.
• Experience in working in an Agile environment.
• Certification in AWS.
• Experience in PowerShell/Batch scripts.
• Good organizational skills with the ability to handle several tasks efficiently.

Education & Experience

• Bachelor's or Master's degree in Computer science, IT or related technical field.
• Minimum 3 to 8 years of overall IT experience.
• Minimum 3+ years of experience on AWS Glue/Python/PySpark
• Strong knowledge of AWS Glue/PySpark, relational databases (Oracle/PostgreSQL, SQL Server).
• Good understanding of AWS data/automation services Step functions, Lambda, SNS, SQS.
• Demonstrate excellent analytical and logical thinking.