Senior Data Engineer — AWS, DataOps & Governance

TechDigital Group; Circleville (OH); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to architect and optimize data management frameworks. In this pivotal role, you will design and implement data engineering pipelines, ensuring adherence to governance standards while leveraging AWS and Snowflake technologies. You will be responsible for developing database models and transforming data for analytical use, while also collaborating with business teams to negotiate solutions. If you are passionate about data architecture and looking to make a significant impact in the finance domain, this is the perfect opportunity for you.

Qualifications

• Expertise in finance domain data and data modeling for analytical use cases.
• Strong skills in architecting data solutions and optimizing performance.

Responsibilities

• Ensure data management frameworks are adhered to and optimized.
• Architect data engineering pipelines using AWS services.

Skills

Finance Domain Data expertise

Data modeling in Data Lake and Data Warehouse

Negotiation with business teams

Architecting data storage and transformation in AWS

Designing data pipelines for various sources

Working with structured, semi-structured, and unstructured data

Creating impactful presentations

Tools

AWS

Snowflake

Job description

We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to support the design, development, and optimization of scalable data solutions. The role involves building cloud-native data pipelines, enabling advanced analytics, and supporting enterprise data integration initiatives.

Data Engineering & Development

• Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub)
• Develop and optimize data models and schemas in BigQuery for high-performance analytics
• Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data
• Implement data partitioning, clustering, and query optimization strategies in BigQuery
• Ability to interpret and convert SQL, and CCL Scripts into a BigQuery along with integration with GCP