Facctum - AWS Data Engineer

Facctum; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Facctum in Bengaluru, India seeks an experienced AWS Data Engineer to lead a large migration from Matillion ETL to a modern AWS-native data platform. Deep expertise in Airflow, Glue, Snowflake, Lambda, and data warehouse modernization is required.

The role focuses on designing scalable pipelines, cloud-based data integration, and ensuring governance and cost optimization across AWS services.

Qualifications

• 2–5 years of experience in data engineering and cloud data platforms.
• Strong expertise in Apache Airflow, AWS Glue, AWS Lambda, and Snowflake.
• Experience designing scalable data pipelines and modernizing data warehouses.

Responsibilities

• Migrate Matillion ETL jobs to AWS-native solutions.
• Analyze requirements of existing data processing jobs.
• Design and build scalable data pipelines with Glue and Airflow.
• Develop data ingestion, transformation, and orchestration on AWS.
• Create reusable ETL/ELT components for enterprise platforms.
• Implement data quality, monitoring, security, governance, and compliance.
• Collaborate with data architects and business teams on migration needs.
• Optimize processing performance, cost, and scalability on AWS.
• Participate in CI/CD and DevOps for data workflows.

Skills

Airflow

AWS Glue

Snowflake

Lambda

Python

SQL

Spark

Git

Tools

Git

Job description

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)