Senior Data Engineer
Summary
Design and build scalable data pipelines on AWS/Azure, using Python, SQL, Spark and Hadoop to feed analytics and reporting systems.
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: With Git, maintain a meticulous record of the evolving data landscape, fostering collaboration and continuous improvement.