Facctum - AWS Data Engineer

Job Description

We are seeking an experienced AWS Data Engineer to lead and execute a large-scale migration from Matillion ETL to a modern AWS-native data platform. The ideal candidate will possess deep expertise in Apache Airflow, AWS Glue, AWS Lambda and Snowflake, with a strong background in designing scalable data pipelines, cloud-based data integration, workflow orchestration, and data warehouse modernization.

Total Experience : 2 - 5 years

Key Responsibilities

• Develop modules/code for migration of existing Matillion jobs to AWS-native solutions.
• Participate in Requirements Analysis of existing data processing jobs.
• Design, develop, and promote scalable data pipelines using AWS Glue and Apache Airflow.
• Build robust data ingestion, transformation, and orchestration frameworks on AWS.
• Create reusable and modular ETL/ELT components for enterprise data platforms.
• Implement data quality, monitoring, alerting, security, governance, and compliance standards.
• Collaborate with data architects and business teams to understand migration requirements and translate them into technical solutions.
• Optimize data processing performance, cost, and scalability across AWS services.
• Participate in CI/CD best practices and DevOps processes for data engineering workflows.
  
  

Tech Stack

• Apache Airflow (DAG development, workflow orchestration, scheduling, monitoring)
• AWS Glue (ETL jobs, Glue Studio, Crawlers, Data Catalog, Spark-based transformations)
• Snowflake (Data Warehousing, SnowSQL, Snowpipe, Streams & Tasks, Performance Tuning)
• AWS Lambda and Step Functions
• Programming language s: Python, SQL, Spark
• Git experience
  
  

(ref:hirist.tech)