Sr. Data Engineer (8+ Year)

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.

 

Role:-  Senior Data Engineer (8+ Year)

Location:- Dallas, TX (onsite) 

Fulltime

 

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