About the role
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.
What you'll bring:
Big Data Technologies: Proficiency in working with big data technologies, particularly in the context of Azure Databricks, which may include Apache Spark for distributed data processing.
Azure Databricks: In-depth knowledge of Azure Databricks for data engineering tasks, including data transformations, ETL processes, and job scheduling.
SQL and Query Optimization: Strong SQL skills for data manipulation and retrieval, along with the ability to optimize queries for performance in Snowflake.
ETL (Extract, Transform, Load): Expertise in designing and implementing ETL processes to move and transform data between systems, utilizing tools and frameworks available in Azure Databricks.
Data Integration: Experience with integrating diverse data sources into a cohesive and usable format, ensuring data quality and integrity.
Python/PySpark: Knowledge of programming languages like Python and PySpark for scripting and extending the functionality of Azure Databricks notebooks.
Version Control: Familiarity with version control systems, such as Git, for managing code and configurations in a collaborative environment.
Monitoring and Optimization: Ability to monitor data pipelines, identify bottlenecks, and optimize performance for both Azure Data Factory
Security and Compliance: Understanding of security best practices and compliance considerations when working with sensitive data in Azure and Snowflake environments.
Snowflake Data Warehouse: Experience in designing, implementing, and optimizing data warehouses using Snowflake, including schema design, performance tuning, and query optimization.
Good to Have:
Data Modeling: Proficient in data modeling concepts and practices, especially in the context of designing and maintaining data structures in Snowflake
About the company
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business.
