Facctum - Senior Data Engineer - AWS

Facctum; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Facctum in Bengaluru is seeking a Senior AWS Data Engineer to lead a large-scale migration from Matillion ETL to a modern AWS-native data platform. You will design scalable pipelines using AWS Glue and Apache Airflow, and collaborate with stakeholders to modernize data warehousing.

The role requires 8+ years in data engineering, strong AWS experience, and a proven track record migrating ETL platforms. You will drive best practices, optimize costs, and mentor junior engineers in a cloud-first

Qualifications

• 8+ years of overall data engineering experience.
• 4+ years of hands-on experience with AWS data services.
• Proven experience migrating ETL platforms like Matillion, Informatica, Talend, or DataStage to AWS-native.
• Strong experience developing workflows in Apache Airflow.
• Extensive experience building and optimizing AWS Glue jobs.
• Hands-on experience with Snowflake administration and performance tuning.

Responsibilities

• Lead the migration of existing Matillion ETL pipelines to AWS-native solutions.
• Participate in requirements gathering and analysis of existing data processing jobs.
• Design, develop, and promote scalable data pipelines using AWS Glue and Airflow.
• Build robust data ingestion, transformation, and orchestration on AWS.
• Create reusable and modular ETL/ELT components for enterprise data platforms.
• Implement data quality, monitoring, security, governance, and compliance standards.
• Collaborate with data architects and business teams to translate migration requirements into technical solutions.
• Optimize data processing performance, cost, and scalability across AWS services.
• Participate in CI/CD and DevOps practices for data engineering workflows.
• Perform code reviews, mentor junior engineers, and drive engineering excellence.

Skills

AWS Data Engineering

Apache Airflow

AWS Glue

Snowflake

Python

SQL

Spark / PySpark

Cloud Architecture

Education

Bachelor's degree in a relevant field

Tools

AWS Glue

Apache Airflow

Snowflake

AWS Lambda

AWS Step Functions

Git

Job description

Job Description

We are seeking an experienced Senior 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. The candidate will work closely with business stakeholders, data architects, and engineering teams to migrate existing ETL workloads, optimize data processing frameworks, and establish best practices for cloud-native data engineering.

We are seeking an experienced Senior 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. The candidate will work closely with business stakeholders, data architects, and engineering teams to migrate existing ETL workloads, optimize data processing frameworks, and establish best practices for cloud-native data engineering.

Key Responsibilities

• Lead the migration of existing Matillion ETL pipelines to AWS-native solutions.
• Participate in Requirements Gathering and Analysis of existing data processing jobs.
• Design, develop, and promote scalable data pipelines using AWS Glue and Apache Airflow (AWS Service).
• Build robust data ingestion, transformation, and orchestration frameworks on AWS.
• Create reusable and modular ETL/ELT components for enterprise data platforms.
• Data modeling and warehousing concepts must have.
• Data migration and modernization projects good to have.
• 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.
• Perform code reviews, mentor junior engineers, and drive engineering excellence.

Tech Stack

• Core Technologies : Apache Airflow, AWS Glue, Snowflake, AWS Lambda, AWS Step Functions, Git
• Programming Languages : Python, SQL, Spark, PySpark, Shell scripting

Experience Requirements

• 8+ years of overall data engineering experience.
• 4+ years of hands-on experience with AWS data services.
• Proven experience migrating ETL platforms such as Matillion, Informatica, Talend, or DataStage to AWS-native architectures.
• Strong experience developing workflows in Apache Airflow.
• Extensive experience building and optimizing AWS Glue jobs.
• Hands-on experience with Snowflake administration and performance tuning.
• Strong understanding of cloud architecture, scalability, deployments.

(ref:hirist.tech)