AWS Data Engineer – Contract

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Tech Holding

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

Tech Holding is a global technology solution company that provides Professional Services, Managed Services, and Staffing Solutions. Specializing in digital transformation and business growth, the company leverages its extensive industry knowledge and technological expertise to assist businesses in navigating the digital landscape. Tech Holding is committed to optimizing business operations and supplying the necessary talent to help clients achieve strategic objectives, making them a trusted partner for leading companies worldwide.

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS. • Modernize legacy data platforms by migrating Apache Airflow/MWAA workloads to AWS-native orchestration services. • Migrate and optimize Amazon EMR workloads to AWS Glue. • Design and implement scalable data lake and data warehouse solutions using AWS services. • Develop robust data models, semantic layers, and standardized KPI definitions to support business analytics. • Build and maintain data quality, validation, anomaly detection, and monitoring frameworks. • Implement metadata management, data lineage, and data governance best practices. • Develop automated deployment pipelines and infrastructure using Infrastructure as Code (IaC). • Optimize data pipelines for performance, scalability, reliability, and cost efficiency. • Collaborate with business stakeholders to understand reporting requirements and translate them into scalable data solutions. • Support QuickSight semantic datasets, dashboard optimization, and Power BI migration initiatives. • Participate in UAT, production deployments, knowledge transfer, and post-production support.

🎯 Requirements

• 5+ years of experience in Data Engineering • Strong programming skills in Python and SQL • Hands-on experience with Apache Spark / PySpark • Extensive experience with AWS data services including: • AWS Glue • Amazon S3 • Amazon Redshift • Amazon Athena • AWS Lambda • AWS Step Functions • Amazon EventBridge • AWS IAM • Experience designing and implementing ETL/ELT pipelines • Strong knowledge of data modeling, data warehousing, and data lake architecture • Experience with Apache Airflow or Amazon MWAA • Strong understanding of Data Governance, Metadata Management, Business Glossary, and Data Lineage • Experience implementing Data Quality, Audit Logging, and Data Reconciliation frameworks • Experience with Amazon QuickSight, semantic datasets, and BI reporting • Experience with Git, CI/CD, and Infrastructure as Code (Terraform or CloudFormation) • Excellent analytical, troubleshooting, and communication skills.

🏖️ Benefits

• Equal Opportunity Employer • Commitment to fostering a diverse and inclusive workplace