Drive automation of new and existing processes using data transformation tools like Alteryx, SQL or Python
Build, maintain and enhance Alteryx data transformation workflows. Deploy them to Alteryx ServerOversee and enhance data protection controls to ensure the security and integrity of enterprise data.
Customize and configure tools to meet specific business or customer requirements, while providing guidance to peers on similar tasks.
Update and refine logical and physical data models to accommodate new use cases.
Utilize SQL extensively and maintain proficiency in NoSQL databases, understanding their unique roles within the industry.
Collaborate with cross-functional teams to support data-driven decision-making processes.
Qualifications:
A minimum of 5-7 years of experience in data engineering or a related field
Proven experience managing the full lifecycle of data, from collection and storage to analysis.
Advanced proficiency in SQL, including complex queries involving joins and aggregations.
Solid understanding of NoSQL databases and their applications.
Demonstrated ability in statistical data analysis, selecting appropriate tools and identifying relevant data patterns for comprehensive analysis.
Experience implementing custom changes in tools to produce tailored data products
Key Toolsets:
Proficiency in Python for data manipulation and analysis.
Familiarity with ETL tools, including Spark and Databricks.
Experience with major cloud platform such as AWS, AWS-S3, AWS-Glue and Snowflake
Extensive knowledge of database management systems, including Oracle, MSSQL, Apache- Iceberg
Understanding of SQL and NoSQL database concepts.
Knowledge of Data Mesh, data modeling, and domain-driven design.
Experience with version control systems and tools, including Git, GitHub, GitLab, and Bitbucket.