Sr. Data Engineer (Platform Focus) - GGN

Senior / Lead Data Engineer (Platform Focus)

About the Role

Were building a modern data platform designed to support complex reporting and analytics across the organization including operational, financial, and compliance use cases. As a Senior / Lead DataEngineer (Platform Focus), youll work on the foundational systems that enable this platform: processing billions of records, integrating diverse data sources, and ensuring the availability, reliability, and usability of data within this platform, youll also contribute to the ETL pipelines and warehouse models that power critical reports and analytics. Your role will span from ingesting raw data to shaping structured, queryable datasets used for decision-making.

Requirements

• Brings 410 years of experience in data engineering or backend-heavy roles
• Is proficient in Groovy, Python, or similar scripting languages
• Is an expert in building robust ETL/ELT pipelines and warehouse models, especially using OLAP databases like ClickHouse and Redshift, and experienced in integrating with object storage systems like Amazon S3 and MinIO for scalable, cost-effective data lake storage
• Has hands-on experience with modern data tools such as Apache NiFi, Airflow, dbt, Trino, Athena, Fivetran, and Apache Spark — widely used for orchestration, transformation, and scalable analytics
• Understands data deeply and enjoys connecting the dots across complex systems
• Thrives in fast-paced, high-ownership, and impact-driven environments

Responsibilities

• Help build and evolve the core data platform, including pipelines and data warehouse layers
• Design and maintain structured datasets to support reporting and analytics
• Work with structured and semi-structured data across PostgreSQL, MySQL, and MongoDB
• Develop and maintain ETL pipelines for both raw data and analytics-ready warehouse tables
• Write and optimize complex queries to process billions of records efficiently
• Perform data exploration and mining to uncover patterns, inconsistencies, or optimization opportunities
• Write transformation and automation logic using Groovy or Python
• Manage infrastructure across on-prem and AWS environments
• Collaborate with engineers, analysts, and product teams to solve business problems with data
• Define and enforce data validation, audit, and alerting mechanisms

The Ideal Candidate

You’re a generalist with strong data instincts. You care about correctness, performance, and

maintainability. You enjoy building systems, understanding data deeply, and connecting the dots across complex data flows. You’re comfortable wearing multiple hats in a fast-moving environment where platform thinking and pragmatism go hand in hand.