AWS Data Engineer
Facctum (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 7–14 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and execute migration of Matillion ETL workloads to an AWS-native data platform.
- Design and develop scalable data pipelines and workflows using AWS Glue, Apache Airflow, and related AWS services.
- Collaborate with data architects and business teams to optimize data processing, enforce quality standards, and implement best practices for cloud-native data engineering.
Minimum Requirements
- Minimum 2 years of hands-on experience with AWS data services including AWS Glue and Apache Airflow.
- Proven skills in Apache Airflow workflow development and AWS Glue job creation and optimization.
- Experience with Snowflake data warehousing, including stored procedures and performance tuning.
- Proficiency in at least one programming language: Python, SQL, or Spark.
Ideal Candidate Profile
- Experienced in migrating ETL platforms (e.g., Matillion) to AWS-native architectures.
- Deep understanding of cloud data engineering, data modeling, and data warehouse modernization.
- Competent in leveraging AWS Lambda, Step Functions, and implementing CI/CD best practices in data engineering workflows.