AWS Data Engineer

Facctum • Python • SQL • ETL/ELT • Matillion • AWS Glue • 28 days ago
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Salary
≈ $14k – $33k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp

First seen by Alion on Sep 2, 2026.

Overview
Company
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Profile match

Facctum

Enhance sanctions and watchlist screening with real-time, high-accuracy compliance technology. Reduce false positives and scale risk decisions confidently.
facctum.com • Bengaluru • Pune • Machine Learning • Blockchain & Crypto • Financial Services • 51-200 employees • Est. 2021
Tech stack of Facctum

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. 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:

- 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.

Mandatory Skills:

Core Technologies:

- 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)

- Git experience

Programming languages:

- Python, SQL, Spark

Experience Requirements:

- 2+ years of intensive hands-on experience with AWS data services.

- Strong experience developing workflows in Apache Airflow.

- Extensive experience building and optimizing AWS Glue jobs.

- Hands-on experience with Snowflake stored procedures.

- Strong understanding of cloud architecture, scalability, deployments.

Skills

Data Engineering, AWS, Apache Airflow, Snowflake DB, Python, ETL, Matillion, Spark

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