AWS Data Engineer (Standard)

ROLES & RESPONSIBILITIES

Job Purpose:

3+ years of experience

We are seeking a skilled Python Developer

• Primary Skills:
• Proficiency in Python for data manipulation and automation.
• Experience with AWS Cloud for deploying and managing BI solutions.
• Advanced Excel skills for data analysis and reporting.

Key Responsibilities:

• SQL Server Development:
• Design, develop, and optimize complex SQL queries, stored procedures, views, and functions.
• Build and manage data models and database schemas to support data engineering needs.
• Perform query performance tuning and optimization for large datasets.
• ETL and Data Integration:
• Develop robust ETL processes using SSIS to transform and integrate data from various sources.
• Maintain and improve data pipelines for high-volume, low-latency processing.
• Cloud and Automation:
• Deploy and maintain BI solutions on AWS Cloud platforms.
• Use Python for automation, data processing, and advanced analytics.
• Collaborate with clients to gather and understand requirements, ensuring successful end-to-end project delivery.
• Ensure data security, integrity, and compliance throughout the development lifecycle.

Desired Background:

• Proven track record of delivering SQL Server-focused BI and data engineering solutions.
• Experience working with large datasets and implementing end-to-end BI applications.
• Strong analytical and problem-solving skills with attention to detail.
• Familiarity with cloud-based architectures and modern data engineering tools.

EXPERIENCE

• 3-4.5 Years

SKILLS

• Primary Skill: Data Engineering
• Sub Skill(s): Data Engineering
• Additional Skill(s): Python, Microsoft SSRS, Power BI, ETL, Microsoft SSIS, BI & Visualization Development, SQL, AWS DBA