**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Bentonville, AR
Duration: 6 months
skill id: 10781797
Responsibilities:
Develop and maintain ClickHouse-based solutions for large-scale data analytics and reporting
Design efficient database schemas, tables, and partitioning strategies to support high-performance queries
Write and optimize complex SQL queries for fast data retrieval and analytical workloads
Build and manage data ingestion pipelines using tools such as Kafka, Spark, or ETL frameworks
Monitor and troubleshoot ClickHouse performance issues, including slow queries and data inconsistencies
Implement data modeling best practices for OLAP systems and columnar databases
Collaborate with data engineers, analysts, and business teams to translate requirements into technical solutions
Ensure data quality, integrity, and validation across systems
Support deployment and maintenance of ClickHouse clusters, including scaling and upgrades
Required Skills:
ClickHouse
SQL query development and optimization
Database schema design, partitioning, and performance tuning
Data ingestion tools (Kafka, Spark, ETL frameworks)
OLAP data modeling and columnar database design
Performance monitoring and troubleshooting
Data quality, validation, and integrity
Collaboration with cross-functional data teams
ClickHouse cluster deployment, scaling, and maintenance
Skills: Digital : Apache Spark ~ Digital : Kafka
Experience Required: 6-8, Project Code :
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Bentonville, AR
Duration: 6 months
skill id: 10781797
Responsibilities:
Develop and maintain ClickHouse-based solutions for large-scale data analytics and reporting
Design efficient database schemas, tables, and partitioning strategies to support high-performance queries
Write and optimize complex SQL queries for fast data retrieval and analytical workloads
Build and manage data ingestion pipelines using tools such as Kafka, Spark, or ETL frameworks
Monitor and troubleshoot ClickHouse performance issues, including slow queries and data inconsistencies
Implement data modeling best practices for OLAP systems and columnar databases
Collaborate with data engineers, analysts, and business teams to translate requirements into technical solutions
Ensure data quality, integrity, and validation across systems
Support deployment and maintenance of ClickHouse clusters, including scaling and upgrades
Required Skills:
ClickHouse
SQL query development and optimization
Database schema design, partitioning, and performance tuning
Data ingestion tools (Kafka, Spark, ETL frameworks)
OLAP data modeling and columnar database design
Performance monitoring and troubleshooting
Data quality, validation, and integrity
Collaboration with cross-functional data teams
ClickHouse cluster deployment, scaling, and maintenance
Skills: Digital : Apache Spark ~ Digital : Kafka
Experience Required: 6-8, Project Code :