AWS Senior Data Engineer

Role

AWS Senior Data Engineer

Required Technical Skill Set

AWS Lambda, Managed Airflow (MWAA), 

AWS S3, AWS Glue, Amazon Redshift, Amazon EMR, Snowflake, Python

Desired Experience Range

8-12 yrs

Location of Requirement 

Chennai, Bengaluru, Hyderabad

Desired Competencies

Must-Have

• 8+ years of experience of analyzing, integrating, modelling, and interpreting large volumes of complex data from multiple sources and technologies preferably using AWS Cloud Services.
• Minimum of 3+ years of working experience with Snowflake as a cloud Datawarehouse and data lake service.
• Obvious track record of designing and implementing ELT data pipelines using tools like dbt and Apache Airflow with Snowflake as Cloud Datawarehouse
• Exposed to ETL/ELT and governance tools (incl. FiveTran, Alation)
• Experience within the AWS Cloud environment with services such as AWS S3, AWS Lambda, SNS, SQS, IAM
• Strong technical proficiency in SQL, data modelling and data warehousing in a variety of database technologies.
• Ability to present and communicate complex technical issues to a variety of audiences including senior management.
• Demonstrable career history working with and delivering high volume Data Warehousing solutions is essential.

Good-to-Have

• Understanding of coding languages like Python would be advantageous, though not essential.
• You are comfortable being responsible for continuous deployment, operation, and monitoring of your data solutions and their infrastructure. Preferred CI/CD toolkit: Terraform, GitHub Actions
• Airline Industry domain experience
• Adaption to Agile Methodology