Data Engineer

Professional Summary: We seek a seasoned Data Engineer with a proven track record of over 5 years in architecting robust data solutions. You are someone who excels in cloud environments, particularly AWS and Azure, and possesses a deep understanding of data services essential for efficient ETL processes and analytics.

Technical Canvas:

• Cloud Mastery: Proficient in AWS and Azure Data Services, navigates the cloud landscape with ease, ensuring data pipelines are scalable and secure.
  

• Data Engineering Excellence: From ETL Processes to Data Warehousing and Data Modeling, these expertise are the backbone of data infrastructure.
  

• Tool Proficiency: Hands-on with tools like Alteryx and Power BI, turning raw data into compelling visual stories.
  

• Coding Languages: With SQL and Python, speak the language of data fluently, crafting scripts that automate and analyze with precision.
  

• Database Systems: knowledge spans across PostgreSQL, MySQL, Microsoft SQL Server, and MongoDB, ensuring data integrity and accessibility.
  

• Big Data Technologies: Proficient with Hadoop, Spark, and Hive, navigating the big data ecosystem to harness its full potential.
  

• Version Control Savvy: With Git, maintain a meticulous record of the evolving data landscape, fostering collaboration and continuous improvement.
  

Requirements

Core Attributes:

• Analytical prowess that turns complex problems into solvable puzzles.
  

• Exceptional communication skills that bridge technical and business realms.
  

• A collaborative spirit that elevates team performance.