Data Engineer

Siri InfoSolutions Inc; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Siri InfoSolutions Inc is seeking a Senior Data Engineer in Dallas to design and operate scalable data pipelines. You will own ingestion and transformation workflows using Snowflake, Fivetran, Dbt, AWS Glue, Python, and PySpark, enabling analytics, data products, and AI-driven initiatives across the enterprise.

The role requires 7–10 years of data engineering and data integration experience, with a strong focus on data quality frameworks, governance, and collaboration with analytics teams.

Qualifications

• 7–10 years of overall experience in Data Engineering and Data Integration.
• Strong experience building scalable data ingestion and transformation pipelines.
• Familiarity with DataOps, CI/CD, governance and security best practices.

Responsibilities

• Design, develop, and maintain enterprise-scale data pipelines in Snowflake.
• Implement and manage data ingestion frameworks using Fivetran.
• Develop ETL/ELT workflows using Dbt, AWS Glue and PySpark.
• Build and optimize data lake solutions on AWS/Snowflake.
• Perform source-to-target mapping and support data migration initiatives.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Develop reusable pipeline patterns and automation frameworks.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support AI/GenAI use cases by preparing high-quality datasets.

Tools

Snowflake

Fivetran

Dbt

AWS Glue

Python

SQL

PySpark

Job description

Data Engineer

Location:- Dallas,TX

Duration:- Full Time

Job Description

Role Summary

We are seeking a highly skilled Senior Data Engineer with expertise in Fivetran, Snowflake, Dbt, AWS Glue, Python, SQL, and cloud-native data engineering. The ideal candidate will be responsible for building scalable data ingestion and transformation frameworks, enabling analytics, data products, and AI-driven initiatives across the enterprise.

7 10 years of overall experience in Data Engineering and Data Integration.

Key Responsibilities

• Design, develop, and maintain enterprise-scale data pipelines in Snowflake.
• Implement and manage data ingestion frameworks using Fivetran.
• Develop ETL/ELT workflows using Dbt, AWS Glue and PySpark.
• Build and optimize data lake solutions on AWS/Snowflake.
• Perform source-to-target mapping and support data migration initiatives.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Develop reusable pipeline patterns and automation frameworks.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support AI and GenAI use cases by preparing and managing high-quality datasets.
• Follow DataOps, CI/CD, governance, and security best practices.

Required Technical Skills

• Core Technologies
• Snowflake
• Fivetran
• Dbt
• AWS Glue
• Python
• SQL
• PySpark

Data Engineering

• ETL / ELT Development
• Data Warehousing
• Data Lake Architecture
• Source-to-Target Mapping
• Data Quality Frameworks
• Pipeline Automation
• Performance Optimization

DevOps / DataOps

• Git
• CI/CD Pipelines
• Agile Delivery
• Infrastructure Automation