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Mid-level AWS data role in Bangalore with common title and mid-career experience increases candidate competition.
Core AWS, Airflow, Glue, and Snowflake skills are highly transferable across industries.
Multiple mandatory AWS/Glue/Airflow/Snowflake skills and explicit 2+ years make filters stringent.
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 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.
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.