Description

You will design, build, and maintain scalable data pipeline architectures and processing platforms for complex business requirements.

Responsibilities

• Assemble large datasets and build data models in coordination with Data Architects.
• Develop, monitor, and troubleshoot ETL/ELT pipelines to ensure data quality and reliability.
• Design internal process improvements, including automating manual workflows and optimizing data delivery.
• Manage database configurations, software upgrades, and resource monitoring for system stability.
• Conduct ad-hoc data retrieval for reporting and perform peer reviews of engineering work.

Required Skills

• 7+ years of experience in Data Engineering, specializing in large-scale data processing and ETL pipelines.
• 5+ years of hands-on experience with data modeling, architecture, and management.
• 5+ years of experience with Relational Database Systems (RDBMS) concepts and data design.
• 5+ years of experience working with cloud environments (AWS, Azure, or GCP).
• 3+ years of experience in T-SQL, SQL, and ELT/ETL performance tuning.
• Proficiency in Snowflake, Hadoop, or other Data Warehouse technologies.
• Experience with Microsoft SQL Server 2008R2 or newer.
• Experience with SSIS or equivalent ETL tools.
• Strong understanding of database storage concepts, including data lakes, NoSQL, and data warehousing.

Preferred Skills

• Experience with Snowflake.

Key Skills

Education

ANY GRADUATE