to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
City of London, London, United Kingdom Hybrid / WFH Options
EML
at least 2 years in a principal or lead capacity. Expert in designing and building enterprise-grade data warehouses. Deep experience utilizing Apache Airflow, ideally having worked with both Celery and Kubernetes style implementations. Experience working with both data lakes/flat file replications as well as streaming frameworks (e.g., Kafka, Kinesis). Experience with Azure cloud services. Proven More ❯
at least 2 years in a principal or lead capacity. Expert in designing and building enterprise-grade data warehouses. Deep experience utilizing Apache Airflow, ideally having worked with both Celery and Kubernetes style implementations. Experience working with both data lakes/flat file replications as well as streaming frameworks (e.g., Kafka, Kinesis). Experience with Azure cloud services. Proven More ❯
South East London, England, United Kingdom Hybrid / WFH Options
EML
at least 2 years in a principal or lead capacity. Expert in designing and building enterprise-grade data warehouses. Deep experience utilizing Apache Airflow, ideally having worked with both Celery and Kubernetes style implementations. Experience working with both data lakes/flat file replications as well as streaming frameworks (e.g., Kafka, Kinesis). Experience with Azure cloud services. Proven More ❯