Data Engineer (Senior/Lead)
Experience: 4 to 10 Yrs
Salary Range: Up-to 25 LPA
Notice: Immediate -15 Days (Preferred)
Key Skills: Python | SQL | Data-warehousing -Snowflake,Redshift,Google BigQuery,RDS | AWS – SNS, SQS, ECS, Docker, Kinesis | ETL | BI | Communication Skills | Team Handling
Role Summary
As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.
Requirements
- Around 4 years of working experience in data warehousing / BI system.
- Strong hands-on experience with Snowflake AND strong programming skills in Python
- Strong hands-on SQL skills
- Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.
- Knowledge on dbt for cloud databases
- AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions
- Solid understanding of ETL processes, and data warehousing concepts
- Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework
- Experience with scrum methodologies
- Infrastructure build tools such as CFT / Terraform is a plus.
- Knowledge on Denodo, data cataloging tools & data quality mechanisms is a plus.
- Strong team player with good communication skills
If this excites you, Please fill the Form to start the application process and we will be in touch