Senior Data Engineer - Dallas, TX | TCS Job

Roles & Responsibilities

We are seeking a highly skilled Senior AWS Data Engineer with expertise in Fivetran, 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. Exposure to Amazon Bedrock and modern GenAI architectures is highly desirable. 

Key Responsibilities

•Design, develop, and maintain enterprise-scale data pipelines using AWS services.

•Implement and manage data ingestion frameworks using Fivetran.

•Develop ETL/ELT workflows using AWS Glue and PySpark.

•Build and optimize data lake solutions on AWS.

•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.

AWS Technologies

•Amazon S3

•AWS Glue

•Lambda

•IAM

•CloudWatch

•EventBridge

•Step Functions

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

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Preferred Skills

•Amazon Bedrock

•Retrieval-Augmented Generation (RAG)

•Prompt Engineering

•Snowflake

•dbt

•Apache Airflow

•Data Catalog & Governance

•Amazon Textract

•AI/ML Integration and Data Preparation

Salary Range: $110,000 to $130,000 per year