Developer

•4+ years of overall experience with at least 3 years of experience in AWS Data Engineering

• Implement ETL processes to extract, transform, and load data from various sources into data lakes or data warehouses.

• Hands-on experience implementing data ingestion, ETL and data processing using AWS Glue, Spark, and Python:

• Proficiency in AWS services related to data engineering, such as AWS IAM, S3, SQS, SNS, Glue, Lambda, Athena, RDS, and CloudWatch

• Strong knowledge of SQL (e.g., joins and aggregations) and experience with relational databases

• Monitor and troubleshoot data pipeline issues to ensure smooth operation.

• CI/CD Pipelines: Good experience of CI/CD tools and pipelines, particularly Bitbucket, with experience in automating deployment processes.

•Experience in delivering AI/ML-related projects, including model development, data preprocessing, and deployment in production environments