working closely with squad members and stakeholders. Handle data in multiple formats (structured, semi-structured, and unstructured) and manage data at various latencies – from batchprocessing to real-time streaming. Collaborate cross-functionally across the business to enable self-service analytics and innovation through well-organised and accessible … architectures (e.g., data lakes, data vaults, data warehouses). Experience in working with Agile frameworks such as Scrum, Kanban, Lean. Experience with distributed data processing platforms such as Databricks. Understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Version control and best practices using More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯
another 3% Incentive bonus at 2% per quarter Onsite Parking Overview As a key member of the EC&I Team, ensuring new and repeat batch processes are brought online on time and within budget. Provide technical support to the maintenance technicians. Support the Manufacturing facilities in production. Contribute and More ❯
As a key member of the EC&I Team, ensuring new and repeat batch processes are brought online on time and within budget. Provide technical support to the maintenance technicians. Support the Manufacturing facilities in production. Contribute and deliver capital projects. Ensure regulatory compliance. Key Accountabilities Design, develop, and More ❯
