Senior Data Engineer

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines in an AWS environment

• Implement batch and incremental data processing workflows

• Build and maintain Change Data Capture (CDC) solutions using AWS DMS and Kafka

• Develop data transformations in dbt with a strong focus on data quality and consistency

• Deploy and manage cloud-based data infrastructure on AWS

• Configure, maintain, and optimize Snowflake data warehouse environments

• Implement Infrastructure as Code using Terraform

• Work with relational databases including PostgreSQL, MySQL, and MS SQL Server

• Design and manage data models for analytical and reporting use cases

• Monitor data pipelines and troubleshoot failures or data quality issues

• Ensure data security, manage secrets, and enforce access controls

• Contribute to architectural decisions and the evolution of the data platform

Requirements

• Minimum 4 years of experience in a Data Engineer role

• Strong proficiency in Python and SQL

• Hands-on experience with AWS services, particularly AWS Glue and AWS DMS

• Experience with Snowflake and dbt, including performance optimization

• Working knowledge of relational databases (PostgreSQL, MySQL, MS SQL Server)

• Experience with real-time and streaming data processing using Kafka

• Proficiency in Terraform and Infrastructure as Code practices

• Solid experience in building ETL/ELT pipelines and CDC-based integrations

• Knowledge of data modeling and data warehouse design principles

• Experience with batch and incremental processing (e.g. SCD)

• Familiarity with GraphQL APIs

• Experience using AWS Secrets Manager

• Understanding of monitoring, data governance, and data security best practices