Data Engineer

Role: Senior Data Engineer

Experience: 12+ Years

Job Type: W2

Job Description

We are seeking a highly experienced Senior Data Engineer with 12+ years of expertise in designing, developing, and optimizing scalable data platforms, pipelines, and cloud-based data solutions.

Required Skills

• 12+ years of experience in Data Engineering
• Strong expertise in Python, SQL, ETL/ELT
• Advanced experience with AWS / Azure / Google Cloud Platform
• Hands-on experience with Snowflake, Databricks, or equivalent cloud data platforms
• Strong knowledge of data warehousing and dimensional data modeling
• Experience with Spark / PySpark
• Expertise in Azure Data Factory / AWS Glue / similar orchestration tools
• Experience developing batch and real-time data pipelines
• Strong knowledge of Kafka or other streaming technologies
• Experience with Data Lake / Data Lakehouse architectures
• Strong understanding of data quality, validation, governance, and security
• Experience with CI/CD, Git, Docker, and Kubernetes
• Performance tuning and optimization of large-scale data workloads
• Excellent communication and stakeholder-management skills

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes
• Build and maintain cloud-based data platforms
• Develop complex SQL queries and optimize data-processing workloads
• Implement data integration across multiple sources
• Develop batch and streaming data solutions
• Design data models, data warehouses, and lakehouse architectures
• Ensure data quality, reliability, security, and governance
• Collaborate with architects, analysts, developers, and business stakeholders
• Troubleshoot production data issues and improve pipeline performance
• Mentor junior and mid-level data engineers
• Support modernization and migration of legacy data platforms to cloud environments