Senior Data Engineer: ETL/ELT Architect (Azure + Snowflake)

Ex; Jersey City (NJ); On-site; USD 90,000 - 110,000; Full time

Job summary

EXL Service in New Jersey seeks a Data Engineer to design and maintain ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT. You will build workflows from multiple sources into Snowflake, write optimized SQL, and collaborate with stakeholders to deliver scalable data solutions.

You'll monitor pipelines for performance, enforce data quality and governance, and work with analysts, architects, and DevOps in a cloud-native environment.

Qualifications

• Build data integration workflows from various data sources to Snowflake.
• Write efficient and optimized SQL queries for data extraction and transformation.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Maintain and enforce data quality, governance, and documentation standards.
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Responsibilities

• Build data integration workflows to Snowflake from diverse sources.
• Write optimized SQL for data extraction and transformation.
• Monitor and troubleshoot data pipelines to ensure reliability.
• Enforce data quality, governance, and documentation standards.
• Collaborate with analysts, architects, and DevOps in a cloud-native setup.

Skills

ETL/ELT pipelines

Azure Data Factory

Snowflake

DBT

SQL queries

Data governance

Collaboration

Tools

DBT

SQL

Azure Data Factory

Job description

EXL Service in New Jersey seeks a Data Engineer to design and maintain ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT. You will build workflows from multiple sources into Snowflake, write optimized SQL, and collaborate with stakeholders to deliver scalable data solutions.

You'll monitor pipelines for performance, enforce data quality and governance, and work with analysts, architects, and DevOps in a cloud-native environment.